Lightweight thermal sensors provide another payload option for generation of very high resolution aerial thermal orthophotos. This technology allows for the rapid and safe survey of thermal areas, often present in inaccessible or dangerous terrain.

In conservation, the use of unmanned aerial vehicles (drones) carrying various sensors and the use of deep learning are increasing, but they are typically used independently of each other. Untapping their large potential requires integrating these tools. We combine drone-borne thermal imaging with artificial intelligence to locate ground-nests of birds on agricultural land. We show, for the first time, that this semi-automated system can identify nests with a high performance. However, local weather, type of arable field and height of the drone can affect performance. The results’ implications are particularly relevant to conservation practitioners working across sectors, such as biodiversity conservation and food production in farmland. Under a rapidly changing world, studies like this can help uncover the potential of technology for conservation and embrace cross-sectoral transformations from the onset; for example, by integrating nest detection within the precision agriculture system that heavily relies on drone-borne sensors.

Unlike handheld thermometers that require to be in contact with a person’s body to obtain temperature, Mesoln provides non-contact and efficient temperature check while the facial mask detection feature allows or denies the entry of people in buildings and event venues. With artificial intelligence (AI) technology, human intervention is minimized, thus reducing any risk of contractions.

Unlike handheld thermometers that require to be in contact with a person’s body to obtain temperature, Mesoln provides non-contact and efficient temperature check while the facial mask detection feature allows or denies the entry of people in buildings and event venues. With artificial intelligence (AI) technology, human intervention is minimized, thus reducing any risk of contractions.

This project aims to solve the littering issue using a drone. This drone will include a wireless camera for surveillance which the authorities will use to monitor the area, as soon as the authorities see a miscreant littering the place they can move the drone closer to the culprits and using an onboard speaker assembly play a pre-recorded message in order to alert the culprits and prevent them from littering. Using this we can achieve surveillance of the area as well as help to keep it clean.

Water is a basic need for all living being, it is important to maintain the cleanliness and hygiene of water. Water gets polluted due to many reasons such as waste from industry, garbage waste, sewage waste etc. water from lakes and ponds are cleaned by traditional methods. We have to incorporate technology such that cleaning work is done efficiently and effectively. We consider this as a serious problem and start to work on the project. We collected information from the various resource, based on the details collected we listed objectives that a design has to carry. Various concepts were generated through Pugh evaluation chart. Design calculation was being done where theoretical values of required parameters were calculated to match them with actual values achieved by the solution. A detailed engineering drawing is created and later fabrication process will be done stepwise. Mechanisms used for our design is such a way that it collects the waste which floats on water bodies and the collected waste can be easily disposed from the product, our product cleans wastes found such as plastic wastes, garlands, bottles and other wastes found floating on water. We detect the waste in the water with a help of an action camera and our product is RC controlled using a battery, we have mainly used parts such as frame, waste collector bin and a propeller

A security robot moves around a restricted area automatically, without direct operator supervision. Images from its built-in cameras are transmitted to the security station. If a stationary security sensor is triggered, the robot changes its route and moves to the location of the possible alert.

Automatic braking is a safety technology that automatically activates the vehicle’s brake system, to some degree, when necessary. … Active crash avoidance technologies use sensors, cameras, radar, and LIDAR to detect vehicles. Most systems issue a visual or audible warning when detecting an impending vehicle collision.

Automatic emergency braking (AEB) systems detect an impending forward crash with another vehicle in time to avoid or mitigate the crash. These systems first alert the driver to take corrective action to avoid the crash.

Self-driving cars equipped with LIDAR sensors offer complete automation under all driving modes. LIDAR-based ADAS systems along with vision and RADAR-based sensors take complete control over the vehicle, managing the speed and steering control, thereby providing a remarkably safe driving experience.

• Ultrasonic Module HC-SR04 works on the principle of SONAR and RADAR system.
• HC-SR-04 module has an ultrasonic transmitter, receiver, and control circuit on a single board.
• The module has only 4 pins, Vcc, Gnd, Trig, and Echo.
• When a pulse of 10µsec or more is given to the Trig pin, 8 pulses of 40 kHz are generated. After this, the Echo pin is made high by the control circuit in the module.
• The echo pin remains high till it gets an echo signal of the transmitted pulses back.
• The time for which the echo pin remains high, i.e. the width of the Echo pin gives the time taken for generated ultrasonic sound to travel towards the object and return.
• Using this time and the speed of sound in air, we can find the distance of the object using a simple formula for distance using speed and time.

Independent mobility is a key component in maintaining the physical and psychosocial health of an individual. Further, for people e having disabled/elderly, independent mobility increases vocational and educational opportunities, reduces dependence on caregivers and family members, and promotes feelings of self-reliance. Psychologically, a decrease in mobility can lead to feelings of emotional loss, anxiety, depression, educed self-esteem, social isolation, stress, and fear of abandonment. Even though the benefits of powered mobility are well documented, the safety issues associated with operation of powered vehicles often prevent clinicians and rehabilitation practitioners from prescribing powered mobility. So we are introducing an intelligent vehicle for disables/elderly people which uses an array of sensors to help with the movement of the vehicle with minimal human interaction. Functionalities of the proposed system are further enhanced using android interface connect to the vehicle via Bluetooth.

A maze solving robot is designed to move in a maze and escape through it by following its walls. A maze solving robot is quite similar to a line follower. Like a line follower has to follow black strip lines, a maze follower finds a wall and starts following it until it finds an escape route. But unlike a line follower which has just to follow a predetermined route, a maze follower is designed to find an escape route that is not known beforehand. However, both types of robots are designed to be autonomous, they basically perform different tasks.  

The maze solving robot designed in this tutorial is built on Arduino UNO and has the maze solving algorithm implemented within the Arduino Sketch. The hardware design of the robot is quite similar that of any other typical line follower robot except that a line follower may have sensors only in the front side of the robot, the maze solving robot has sensors at left side, right side and front side of the robot. The electronic circuitry of the robot consists of the Arduino board, IR sensor array and L293D motor driver IC coupled with two geared DC motors. The robot is powered by a 12V battery and is programmed to instantly start finding an escape route once it is powered by the battery. 

The tasks of object recognition and tracking are  a key component of video surveillance  and monitoring systems. This paper presents CamShift (Continuously  Adaptive Mean Shift) algorithm  and color  detection in darkness for tracking a target with video sequences in real time. The system described in this paper  contains a  camera that  is connected  to a  Raspberry Pi. The  Raspberry Pi  has an  image  processing  algorithm  which  detects an  object  first and  then  tracks  it.  Color  detection generally  is  a primary  stage in  most of  the image  processing applications,  if  the application  is based  on  the  color  information. To monitor object in video, an embedded board is adopted to monitor  the activity of the object of interest based on Raspberry Pi with LCD touch screen display TFT monitor. A software method for  real  time implementation  of  moving  object  tracking  and  recognition  is  done  using  Python programming language with OpenCV libraries. The two algorithms are tested and compared to prove the robustness of the proposed color detection algorithm operating in a low light environment. Good practical results for recognition and tracking are obtained.

This paper presents a study on steering control algorithm for a joystick car drive system. The joystick drive system allows a handicapped person to drive a car by using a joystick with small force and short stroke. However, a wrong joystick operation, such as a sudden and wide steering, when a vehicle running in a very high speed results in a car accident quite easily. The other hand, quite sensitive steering control is required around the center of steering angle when a car runs along a straight line. When parking a car, a large steering angle provides easier parking maneuvering to a driver. To realize these requirements and solve some problems, we propose a steering control method with variable steering sensitivity and steering limitation based on a vehicle velocity. First, a dynamic model of a car running with rotation to define a risk for rollover of a car. From the dynamic model, we get limitation of steering angles as a function of the vehicle velocity. The limitation function is verified by the drive test taken by the real van running on the public road including highway and parking lot. The control method is successfully implemented on a microcomputer based controller for the joystick car drive system

Fire incident is a disaster that can potentially cause the loss of life, property damage and permanent disability to the affected victim. They can also suffer from prolonged psychological and trauma. Fire fighters are primarily tasked to handle fire incidents, but they are often exposed to higher risks when extinguishing fire, especially in hazardous environments such as in nuclear power plant, petroleum refineries and gas tanks. They are also faced with other difficulties, particularly if fire occurs in narrow and restricted places, as it is necessary to explore the ruins of buildings and obstacles to extinguish the fire and save the victim. With high barriers and risks in fire extinguishment operations, technological innovations can be utilized to assist firefighting. Therefore, this paper presents the development of a firefighting robot.

In this paper we introduce a gesture-based robot control framework, we discuss the adopted design principles and we report results about its evaluation with humans. Gesture-based control using wearable devices may constitute a novel form of human-robot interaction, but its implications have not been discussed in the literature. We discuss the main challenging issues, possible design guidelines and an open source, freely available implementation using commercially available devices and robots. 

Obstacle detection and collision avoidance capabilities are the cornerstone of service robotic manipulators, i.e., robots that can work safely in human environments. … The system is intended to learn in an autonomous way the motions to avoid collisions with surrounding objects in real-time.

Have you ever made your own robot? Here is a very simple and easy robot. In this project, I will explain how to design and build a Line Follower Robot using microcontroller. The Line Follower Robot is a basic robot that follows a specific path indicated by a line (usually a black line on a light coloured surface) having some particular width.

In present time almost all the people are familiar with robots. Robots play a very important role in human life. Robots are a machine which reduces the human efforts in heavy works in industries, building etc. and makes life easy. In Our previous Projects we have made some robots like line follower, DTMF controlled robot, gesture controlled robot, computer controlled robot, but in this tutorial we are going to design a very interesting robot, that is RF controlled Robot. Interesting thing in this project is that it will run without using any microcontroller. Here we will run it directly by RF Decoder and Motor Driver.

This paper is focused on the technology of speech recognition through conversion of speech into text. In previous work, controlling our machineries through the help of voice commands, using this technology, was not possible. Therefore, this paper gives an analysis and implementation to help the people who are handicapped and cannot drive their own vehicle. Thereby in future, they drive their own vehicle with a greater safety from sudden hit-and-run cases due to automatic braking or slow down feature. An Arduino interfacing with Bluetooth module is to provide the communication channel with device through which we will give the voice commands. For the circuitry, programmed Arduino will give the control over the motors that use to run the robotic vehicle. Ultrasonic sensors interfaced with the Arduino help in automatic slowdown or braking of a vehicle on sudden obstacle detection, and after a delay, it will help in the avoidance of the obstacle.

The main objective behind developing this robot is for the surveillance of human activities in the war field or border regions in order to reduce infiltrations from the enemy side. The robot consists of night vision wireless camera which can transmit videos of the war field in order to prevent any damage and loss to human life. Military people have a huge risk on their lives while entering an unknown territory. The robot will serve as an appropriate machine for the defense sector to reduce the loss of human life and will also prevent illegal activities. It will help all the military people and armed forces to know the condition of the territory before entering it.

The human cannot record video safely in critical conditions and environments. These conditions and environments may be buildings where the fire breaks out, Areas with poisonous gases or harmful radiation and the places where there is an exchange of fire such as battlefield. This paper introduces design and implementation a surveillance tanked robot based on Wi-Fi protocol and windows operating system. The movement directions of the robotic tank are controlled by a GUI designed using visual studio development environment. The robot can transmit real-time video to the intended recipient. In addition, it can pick and place objects using (4-DOF) robotic arm.

Abstract: Here the wildlife observation robot with night vision capability system makes use of RF remote joystick to operate the robot on which the night vision camera is being mounted 360 deg. This allows the user to control the robotic vehicle wirelessly and get required angled of these wild animals.

Maintaining social distancing norms between humans has become an indispensable precaution to slow down the transmission of COVID-19. We present a novel method to automatically detect pairs of humans in a crowded scenario who are not adhering to the social distance constraint, i.e. about 6 feet of space between them. Our approach makes no assumption about the crowd density or pedestrian walking directions. We use a mobile robot with commodity sensors, namely an RGB-D camera and a 2-D lidar to perform collision-free navigation in a crowd and estimate the distance between all detected individuals in the camera’s field of view. In addition, we also equip the robot with a thermal camera that wirelessly transmits thermal images to a security/healthcare personnel who monitors if any individual exhibits a higher than normal temperature. In indoor scenarios, our mobile robot can also be combined with static mounted CCTV cameras to further improve the performance in terms of number of social distancing breaches detected, accurately pursuing walking pedestrians etc. We highlight the performance benefits of our approach in different static and dynamic indoor scenarios.

This paper proposes a method for controlling a wireless robot for surveillance using an application built on Android platform. The Android application will open a web-page which has video screen for surveillance and buttons to control robot and camera. Android Smartphone and Raspberry pi board is connected to Wi-Fi. An Android Smartphone sends a wireless command which is received by Raspberry pi board and accordingly robot moves. The Video Streaming is done using MJPG streamer program that gets mjpeg data and sends it through a HTTP session. The Raspberry pi programming is done in python language. The experimental result shows that the video streamed up to 15 frames per second.

The drone which we are going to develop is a modular drone which can be used for two purposes. In the first case, the drone will carry less non-lethal weapons like blinding lasers and LRAD (Long Range Acoustic Device) and the second will carry non-lethal weapons like a paintball gun, pepper spray canisters, etc.

In both cases, the drone is equipped with a speaker to communicate and give warnings. The drone has two flight modes tethered and untethered. In tethered mode, the drone has more flight time where it is connected to a power supply in the ground but the altitude is limited in this mode. The untethered mode increases the range of the drone but with the cost of flight time. 

The movement state of obstacle including position, velocity, and yaw angle in the real traffic scenarios has a great impact on the path planning and decision-making of autonomous vehicle. Aiming at how to get the obstacle’s movement state in the real traffic scenarios, an approach is proposed to detect and track obstacle based on three-dimensional Light Detection And Ranging (LiDAR). Firstly, the point-cloud data produced by three-dimensional LiDAR after the road segmentation is rasterized, and the reuse of useful non-obstacle cells is carried out on the basis of the rasterized point-cloud data. The proposed eight-neighbor cells clustering algorithm is used to cluster the obstacle. Based on the clustering result, static obstacle detection of multi-frame fusion is worked out by combining real-time kinematic global positioning system data and inertial navigation system data of autonomous vehicle. And we further use the static obstacle detection result to detect moving obstacle located in the travelable area. After that, an improved dynamic tracking point model and Kalman filter are applied to track moving obstacle stably, and we finally get the moving obstacle’s stable movement state. A large amount of experiments on the autonomous vehicle developed by us show that the method has a high degree of reliability.

RF controlled solar panel based robotic vehicle can be used for observing an area and can be used for security purposes. In this solar panel project, RF controlled solar panel based robotic vehicle can be used for observing an area and can be used for security purposes. In this solar panel project, solar power-based robotic vehicle is integrated with 360-degree camera. This robotic vehicle movement can be controlled using RF technology for remote operation. This system uses push buttons at the transmitting end. With the help of these push buttons, the receiver is able to receive commands. These commands that are sent are used to control the movement of the robot which gives instructions for either to move the robot forward, backward, left or right etc. It uses the Atmega 328 series of a microcontroller to achieve its desired operation. This robot car has a 360-degree camera that can be used as security surveillance and solar panel for charging the battery. The solar panel has an auto battery cut off system. The wireless camera will be streaming live on the android application.

In the early times the concept of smart cities have gained great popularity. The proposed Smart Parking system consists of an on-site deployment of an IOT module that is used to monitor and signalize the state of availability of  single parking space. This paper introduce an IOT based coordinated framework for  efficient and easy way of parking the vehicles by checking the availability of slots.  The proposed  Smart Parking framework comprises  of an  IOT  module  that  is utilized  to  screen  and signalize the condition of accessibility of single parking spot. The paper additionally depicts an  abnormal state perspective of  the  framework engineering.  Towards  the  end,  the  paper  examines  the  working  of  the  framework  in  type  of  an utilization  case  that  demonstrates  the  rightness  of  the proposed show.

The  Ultrasonic  Range  Detection  Sensor  is  utilized  with Arduino to indicate the empty slot .By measuring the distance using ultrasonic sensor drivers are able to find the empty slot in parking to park the car and help the driver to find the slot easily and reduce  the searching time. As the  parking place  is found  to  be  empty  it  is  detected  using  ultrasonic  sensors which report it further. We achieved this by programming the sensors and Arduino.

A pick and place robot is the one which is used to pick up an object and place it in the desired location. It can be a cylindrical robot providing movement in horizontal, vertical and rotational axes, a spherical robot providing two rotational and one linear movement, an articulate robot or a scara robot (fixed robots with 3 vertical axes rotary arms).

With an increase in population, there is an increase in the number of accidents that happen every minute. These road accidents are unpredictable. There are situations where most of the accidents could not be reported properly to nearby ambulances on time. In most of the cases, there is the unavailability of emergency services which lack in providing the first aid and timely service which can lead to loss of life by some minutes. Hence, there is a need to develop a system that caters to all these problems and can effectively function to overcome the delay time caused by the medical vehicles. The purpose of this paper is to introduce a framework using IoT, which helps in detecting car accidents and notifying them immediately. This can be achieved by integrating smart sensors with a microcontroller within the car that can trigger at the time of an accident. The other modules like GPS and GSM are integrated with the system to obtain the location coordinates of the accidents and sending it to registered numbers and nearby ambulance to notify them about the accident to obtain immediate help at the location.

As an emergent research area by which swarm intelligence is applied to multi-robot systems; swarm robotics (a very particular and peculiar sub-area of collective robotics) studies how to coordinate large groups of relatively simple robots through the use of local rules. It focuses on studying the design of large amount of relatively simple robots, their physical bodies and their controlling behaviours. Since its introduction in 2000, several successful experimentations had been realized, and till now more projects are under investigations. This paper seeks to give an overview of this domain research; for the aim to orientate the readers, especially those who are newly coming to this research field. General Terms Swarm robotics, swarm intelligence, multi-robot systems.

The proposed paper on Long Range Spy robot allows operating a robot irrespective of the distance of the person operating it. This system Long Range Spy Robot with Obstacle Detection allows not only to control the robot’s movements but also to stop the robot as soon as the robot encounters an obstacle. The user of this system doesn’t have to worry about the distance in order to operate the robot In order to make the robot move. This system Long Range Spy Robot with Obstacle Detection allows not only to control the robot’s movements but also to stop the robot as soon as the robot encounters an obstacle. The user of this system doesn’t have to worry about the distance in order to operate the robot. The system does this with the help of DTMF technology which allows sending data commands via a call.

This paper describes the design of a model of wireless remote control car using radio frequency. This remote correspondence framework can be utilized to transmit distinctive sorts of signs from transmitting end to accepting end. The control motion from the transmitter is sent to the beneficiary which is associated with a protestor gadget or vehicle that will be remotely controlled. The authors have first design the transmitter section and then they have design the receiver section. In this research work, authors will try to construct a car that has the ability to be controlled using the remote through the wireless transmission. This remote control car is work run both on land and water efficiently.

In a place where science fiction of yesterday is rapidly becoming reality of today. The world needs less physical interaction and more productivity. An android device controlled robotic arm via Bluetooth wireless technology is presented here. Such device is very much required where human reach is not possible or must be avoided. Also, the cheap and robust design of this project makes it a very useful tool in multiple industries

The main objective for developing the robot is for the surveillance of human activities in the war field or rescue operations in order to reduce attacks from the enemy side. The robot consists of night vision wireless camera which can transmit videos of the war field in order to prevent any damage and loss to human life. Military men have a huge risk on their lives while entering an unknown territory. The robot will serve as an appropriate machine for the defence sector to reduce the loss of human life and will also prevent illegal activities. It will help all the military people and armed forces to know the condition of the territory before entering it. This can also be used in various rescue operations to save the man power and to monitor hazardous situations. The main advantage of this project is that we can easily control the robot using an android mobile by a blue control screen app.

In present generation grass cutter machines are becoming very popular today. Pollution is manmade, which we can be seen in our daily life. In old model of grass cutter IC engine was used and hence because of its environmental impact, pollution level  rises.  IC  engine  driven  cutter  is  more  costly.  Maintenance of  such  conventional  machine  is  more.  To  avoid  these drawbacks, we plan to  build new type of grass cutter which runs on solar energy and this model is economical compared to previous one. The aim of our project is to make the grass cutter which operates on solar energy, hence save the electricity and reduces manpower. In this project we use 8051 microcontroller for controlling the operations of a grass cutter. Also the grass cutter has Ultra sonic sensor for obstacle detection. Grass cutter operates automatically hence it does not require skilled person to operate.

Agriculture is an essential thing for survival of the humans and the farmers who do agriculture spend so much of time in ploughing the field and irrigating the field etc. The proposed system is a boon to farmers which combines the robotics with agriculture and capable of moving around the field like a farmer and plough the field and sow the seed in the pre determined row and irrigate the field along the rows autonomously. In addition to this, obstacle detection and clearance are also done. All these operations are controlled via WiFi module.

Land mines buried under the ground causes threat to the lives and affect the economy of the nation. Detection and removing of these mines manually is a dangerous task, which may sometimes causes accidents. In such situations robots aid in detection of the land mines. Not only  land mines, these robots can be used to detect any other metals presented in the ground.

With the help of image processing algorithms, our drone can able to easily identify the victims and rescue them. The thermal imaging capability of the drone helps the firefighters and first responders to see through smoke during the rescue process.

One of main source of income in of India is Agriculture. The production rate of crops in agriculture is based on various parameters like temperature, humidity, rain, etc. Which are natural factors and not in farmers control. The field of agriculture is also depends on some of factors like pests, disease, fertilizers, etc which can be control by giving proper treatment to crops. Pesticides may increase the productivity of crops but it also affects on human health. So the main aim of this paper is to design agriculture drone for spraying pesticides. In this paper, we are going to discus different architecture based on unmanned aerial vehicles (UAVs). The use of pesticides in agriculture is very important to agriculture and it will be so easy if will use intelligent machines such as robots using new technologies. This paper gives the idea about various technologies used to reduce human efforts in various operations of agriculture like detection of presence of pests, spraying of UREA, spraying of fertilizers, etc. This paper describes the development of quad copter UAV and the spraying mechanism. In this paper we also discuss integration of sprayer module to quad copter system. The discussed system involves designing a prototype which uses simple cost effective equipment like BLDC motor, Arduino, ESC wires, etc.

A robotic arm is an artificial arm to achieve desired tasks. Now a day, there is a more and more purpose to develop artificial arms for various non-human situations where human communication is impossible. Human’s pickups stuff without considering the steps involved, and using wired and wireless, robotic arm is controlled manually. This paper focuses on design, and to control the robotic arm’s angle by using Cortex ARM M3 LPC1768 Microcontroller including ultrasonic sensor and a digital controller using computer system. The robotic arm can move freely having 5 Degrees of Freedom (DoF) with a Servo motor situated at each joint. The function of Servo motor is position-controlling using a microcontroller. With the help of this Servo motor, Robotic Arm can position the link that required at the particular angle. By using rotary-encoder the feedback of the angle can be measured. The purpose of this paper is to introduce the level of intelligence that can be implemented to industries in order to reduce the human errors as well as enhance the quality and rapid production in manufacturing and processing. The major advantage of the Robotic Arm is that it can work in hazardous circumstances such as high temperature, pressure which is not suitable for the humans. The Robotic Arms can be update and modify easily. Robotic Arm reduces the overall cost and risk associated with the injuries of workers. The operation of designed robotic arm has been experimentally verified. Simulation results are presented and discussed.

Asking into consideration some geographical regions like Siachen with extremely harsh and diverse environmental conditions such as temperature ranging from -10 to -60 degrees, which result in a challenging human survival and surveillance. In this scenario, the automated surveillance robot will be considered as an efficient solution, which aims at continuous monitoring of the surrounding with least human interruption. Considering the recent developments in the surveillance robot systems, there is a necessity of developing a system which can do precise processing withstanding such harsh temperature ranges reducing the rate of soldier casualties. The proposed system implements continuous video based real time surveillance for robotic assembly made up of bullet proof and resistant material Kevlar, along with tungsten mesh for temperature regulation. With the successful communication establishment between Ground Communication Centre (GCC) and the robot with a 360 degree rotating camera, the surveillance system operates in four phases: object detection (range, angle and GPS co-ordinates from the robot), object tracking and movement detection, object classification and report generation.

Design and development of Head motion controlled wheelchair has been achieved using accelerometer sensors and PIC microcontroller. The system is implemented practically and works well. The ACCELEROMETER senses the change in direction of head and accordingly the signal is given to microcontroller.

Women safety is the biggest threat to India. There are many areas in which women are not feeling safe. This should be changed as much soon as possible. Technology changes and improves day by day to change the way human are living. So this paper focuses on updating technology framework to make stronger women safety mechanism. In this paper, we introduce a new security mechanism to safeguard women during abnormal activities. New security mechanism has been proposed based on the patrolling robot using the Raspberry Pi. Here night vision camera can be used for securing any premises. To improve the accuracy of the classifier, various machine learning models are used. Algorithms like Boosting, Bagging, Stacking and Enhanced reweight mechanism in Ensemble are used. Confusion matrix with individual classifier accuracy is considered for evaluating results. The results show that the proposed method performs well compared to existing algorithms.

Here we propose the demonstration of “Wireless Humanoid/Bionic Arm on Robotic Vehicle”. There has always been a compelling requirement of the system which can be remotely operated and has high degree of manoeuvre with accurate control over its every movement. The presence of these systems is indispensable in performing remotely operated precise tasks and for working in hazardous environments. This system has two wireless controllers mounted on gloves, one for each hand of the operator. Here system precisely replicates the finger motion of one hand of the operator onto the motion of the humanoid arm. The RF receiver is interfaced with microcontroller to control the driver IC which is responsible for controlling the movement of the arm. The transmitter circuit consists of an accelerometer sensor which is interfaced to atmega48 microcontroller. This transmitter circuit sends commands to the receiver circuit which indicates whether to move the robotic arm in any directions or whether to grip an object or release it. Also using the hand gestures of the other hand of the operator, motion of robotic vehicle is controlled

The advancements made in technology of robotics have made life of mankind very much easier and comfortable. This paper describes a smart floor cleaning robot that allows cleaning the floor by giving instructions to the robot. This robot makes floor cleaning process easy and fast utilizing a wireless robotic cleaning system. This wireless system consists of a transmitter application that runs on an android mobile app which allows the robot to follow commands given by the user through the transmitter app. The proposed robot consists of Arduino UNO controller which has fourteen digital input/output pins, robotic arm with cleaning pad with a water sprayer for efficient cleaning. The Arduino UNO, on receiving the commands from android device through Bluetooth receiver, decodes the given commands and controls the motors to achieve the desired path and direction.

The principle point of our task is to spare time. It’s exceptionally difficult to invest our energy dependably in cleaning of the white board. Rather than this, we can control the D.C engine so that the white board to be cleaned. This without a doubt spares our profitable, valuable time. We can do this gigantic work, simply by utilizing forward/reverse switch control. It is exceptionally valuable, as it have different favorable circumstances. Our goal is to plan and build up an electric framework typically “AUTOMATIC WHITE BOARD ERASER”. In this project we are using these hardware components Whiteboard, Swapper, Microcontroller, PIC, LCD, and DC motor. Since our adolescence the day we entered school first thing we have seen are blackboards. They established the fundamental frameworks of our insight from the essential ABC’s to what we realize even today. India being a nation underscoring on instruction since ages. In any case, the chalks we use on writing boards or the markers on whiteboards should be deleted if next thing is to be taught. This dark or whiteboard eradicating strategy is a repetitive occupation. So to lessen a smidgen time and vitality of the instructors who should raise the cutting edge we have attempted to design the automatic blackboard erasing mechanism. Essentially it is a straightforward Duster connected on a vertical Shaft. The development is finished by the utilization of 2 DC engines and they can be controlled by means of switches given. The Duster might be put in the midsection of the load up so to lessen time to move towards any side of the load up effectively. In this manner the instructors will have the capacity to delete half of the board effectively. To reduce the work and time required to erase the whiteboard so as to ease the problems of teachers as well as students.

There are high requirements to develop artificial arms for many inhuman situations where human interactions are presenting challenges or not possible (i.e. impossible situations). This paper presents information, methods, and techniques which are essential for building a robotic arm controlled by the movements of normal human arm (Gesture Robotic Arm) whose data is acquiring by using the sensor fusion technique of Gyroscope, Accelerometers and Magneto sensors (MEMS sensors). For appropriate control mechanism and for reducing the noise amount which is coming in from the sensors, a proper averaging algorithm is used for smoothening the accelerometer output. The development of this arm is based on the Arduino platform; in which all are interfaced with each other by using Bluetooth wireless communication. The prototype of robotic arm of this paper has been implemented practically. The developed robotic arm of this paper is tracked the movement of human arm with a good accuracy. Implementation of this arm could be expected for overcoming the problems such as picking or placing object that are away from the users or could be used in medical applications.

The principle extent of this anticipate is to build up a remote innovation based air cushion vehicle framework controlled utilizing android. An air cushion vehicle, otherwise called an air-pad vehicle or ACV, is a specialty equipped for going over area, water, mud or ice and different surfaces. Air cushion vehicle are crossover vessels worked by a pilot as an air ship instead of a skipper as a marine vessel. It is presently utilized all through the world as particular transports in a fiasco alleviation, coastguard, military and review applications and additionally for game or traveler administration. Large forms have been utilized to transport several individuals and vehicles over the English Channel, whilst others have military applications used to transport tanks, troopers and vast gear in threatening situations and landscape A hovercraft is a non wheeled vehicle that can hover over land as well as water easily using high powered fans and aerodynamic design. We here propose an advanced hovercraft that uses high rpm motors interfaced with an avr family microntroller to achieve desired functionality. The motor below hovercraft rotates at a very high RPM that allows it to generate a force enough to make it hover on the surface thus reducing the friction below it to minimum. Then we use the motor propeller mounted behind it to push the hovercraft in forward direction. Now we also need to use a servo motor attached to the hovercraft rudder that helps the hovercraft to move in desired directions by bending the air at accurate angles. The system works collectively to hover while continuously managing servo as well as propeller motor to drive the hovercraft as desired. Now to control the hovercraft we here use an android application. The android application sends movement commands to the hovercraft circuit. The circuit consists of an Bluetooth receiver to receive and process these commands. The commands received by receiver are now processed by the microcontroller and it then operates all three motors accordingly as desired by the user.

The design analysis of a Remote Controlled ” Pick and Place ” Robotic vehicle has been presented in this paper. This work unravels the fact that man would always want to adhered to safety precautions at workplace and even in its environment, to be able to handle some specific tasks, like sending the robotic vehicle to hazardous environment to obtain samples for chemical analysis. A typical Robotic Vehicle is capable of traveling over various terrains and traversing obstacles. In one embodiment, the design in this work, includes a Robotic arm of five Degree of Freedom with its base resting directly on top of the vehicle, a body having four drive wheels coupled to the ends thereof. The wheels are selectively powered to propel the vehicle. The design methodology involves the hardware, software part and implementation of both designs. A prototype of the Remote Controlled ” Pick and Place ” Robotic vehicle was built to validate design specifications. The results obtained were very satisfactory. The use of Robots is highly recommended for Industries especially for safety and productivity reasons.

This paper presents the wireless bomb disposal robot which will help to improve defense of our nation from terrorist, suicide bombers and other such activities. The bomb detectors and disposal system works only with the presence of experts. But this way of analyzing takes more time and make risk to life of experts. The Wireless Bomb Disposal Robot uses a control application, at the user end to control the robot remotely using Wireless technology. The bomb technician controls the robot using this application at control site. Input from the user is transmitted over Bluetooth to the Receiver, where it is received, identified and given to the appropriate module (Robot) to act. The Robot consists of a Base, a robotic Arm and a wireless camera on it. We have used DC motors for the elbow and the gripper of the robotic arm. As we are not risking the life of a bomb expert or any other commando. Hence introducing the safest way for disposing the explosive to save life of common people.