This paper presents a smart surveillance robot for military application by using Raspberry Pi for security purpose. An field Raspberr pi sends a wireless command which is received by Authorized person on web Page and accordingly robot moves. The Video Streaming is done using Raspberry pi camera.

The conventional farming approaches have been found unable to deliver an appropriate quantity of fertilizer. Similarly, no explicit measure can be established to regulate the climate parameters. In this study, we have developed a prototype comprising a sensor network (SN) based node, Raspberry Pi based embedded system (ES) that is active to monitor the climatic parameters with air temperature, air humidity, soil moisture, air carbon dioxide, and light intensity within a greenhouse environment. Raspberry Pi based ES is integrated with internet-of-things (IoT) analytics, termed as ThingSpeak, and sensor nodes are physically placed in a greenhouse environment to record climate parameter data being forwarded to the gateway

Nowadays with the increasing amount of waste generated and limited landfill space for waste disposal, recycling is one of the important approaches to manage the waste effectively. The current manual recycling practice in which the user need to bring the waste in bulk to the recycling centre might be hassle and hence become a discouraging factor for them to recycle. To overcome such an issue, in this project an automated recycle bin with a reward feature is proposed that derived from a reverse vending machine (RVM) concept. Basically, the system is implemented in a standard recycle bin provided by local municipal that equipped with microcontroller and collection of sensors. Throughout the process, the sensors responsible to identifying user information, weight the scale and eventually convert the weight to the corresponding points automatically. Once the process completed, the user can claim their points by using RFID point card. All the mentioned process will be controlled by a microcontroller. The system has been implemented in a small scale user testing and the framework shows its effectiveness for handling the whole process. The prototype is expected to aid in accelerating the motivation among Malaysian to recycle their waste, and can be one of the frameworks to overcome urban poverty issue by using waste to wealth concept.

To secure and guard our house in our absence, we propose the IOT based Anti-theft detection and alert System using Raspberry Pi. This system monitors the entire floor for movement. One single step anywhere on the floor is tracked and user is alarmed through mail over IOT. In this system, secure flooring tile connected with IOT, when the system is to be turned on, then whoever comes inside the house it passes the information over IOT. Whenever the thief enters in the house, and steps on the floor immediately it is sensed by the sensor which passes on the signal to raspberry pi controller. The controller in turn processes it to be valid signal and then moves the camera to the area where movement was detected and then transmits it over the Internet for the home owner to check the image.

This Raspberry Pi module is used to decide whether input is hot water or cold water. This module is programmed in such way that water will stop after 10 seconds. This will save the water and also limit the flow of water. This system is automated by voice command and easy to handle.

Flooding is one of the major disasters occurring in various parts of the world. The model is very much useful to monitor the water level variations in rivers, dams, reservoirs and the monitored values regularly stored in the web server which is useful to send flood alerts to corresponding authority for proper action and the same can be viewed through the web. This research investigates the use of wireless sensor network (WSN) for monitoring of river and flood conditions. The wireless sensor network system can also be used for real-time monitoring of water conditions like water flow level and precipitation levels. The model was developed and engaged in monitoring flood

This paper presents the automatic document reader for visually impaired people, developed on Raspberry Pi. It uses the Optical character recognition technology for the identification of the printed characters using image sensing devices and computer programming. It converts images of typed, handwritten, or printed text into machine encoded text. In this research these images are converted into the audio output (Speech) through the use of OCR and Text-to-speech synthesis. The conversion of printed document into text files is done using Raspberry Pi which again uses Tesseract library and Python programming. The text files are processed by OpenCV library & python programming language and audio output is achieved.

With the combination of sensors such as pulse rate sensor, temperature sensor, accelerometer, and respiration sensor, a Raspberry Pi can be transformed into a mini-clinic. These systems are being used in many parts of the world . Microcontroller units (MCU) are being used as the main controller of the systems but they do not support parallel data handling.

 Using the Wi-Fi or IR modules might overcome the range limitation. proposed an IoT based patient monitoring system. Raspberry Pi is the main logic unit of the system.

The system detects abnormalities in the heart. The respiration rate was monitored by using a respirator and accelerometer . The system used various gas sensors to provide the health monitoring facility.

Since the corona outbreak, it has become very difficult to identify those who are affected by the virus or not. To solve this issue, temperature devices are often used to measure body temperature. These devices have non-contact IR temperature sensors which can measure the body temperature without any physical contact.  

There are many temperature guns available in the market, but none of them gives any alert or email notification to higher authorities to take appropriate actions when the temperature exceeds a particular limit. In this project, we will interface an IR temperature sensor and send the email alerts with the image of the person if the temperature of any particular person exceeds the set value.

In today’s world, the Internet of Things is revolutionizing our life by developing a number of systems which can be monitored and controlled remotely. In this project, we will leverage the power of IoT and we will build a Temperature Monitoring device with Email alerts using Raspberry Pi, MLX90614, and PiCamera.

The camera is connected to the Raspberry Pi in any way like by using USB camera with Raspberry Pi, using Pi camera or by using IP camera to use Android mobile for camera. This Raspberry Pi fun project capture the image automatically when it detects the Smile in our face, so it is called as Raspberry Pi selfie camera.

Voice Based Home Automation System using Raspberry Pi is the project which will be very useful for old age people and disabled people, basically for one’s who cannot perform basic activities efficiently. It is the idea which corresponds to the new era of automation and technology. The main aim of the home automation system is to make life easier. Mobile devices are very common among everyone due to its user friendly interface and portability features. In this project we aim to control electrical home appliances by android voice commands using Wi-Fi as communication protocol between Raspberry Pi and Android device. Raspberry Pi 3 becomes a better option for home automation via internet due to its feature of inbuilt Wi-Fi and Bluetooth.

According to the survey most of the accident are occurred because of the dunk and drive cases, in order to put a full stop a system using raspberry pi with alcohol detection sensor and ignition which is presented with the help of the DC Motor is implemented using Network communication which will automatically stop the ignition if the alcohol is detected and also will inform to the care taker with the help of the network using a web page which can be accessed from Wide Area Network (WAN). In this proposed system, automatic alcohol detection system which is also connected to the server from where the status of the person will be known at the same time if the alcohol is detected automatically the ignition will be off.

This paper proposes the Smart Surveillance System using Raspberry Pi and Image Processing. This system will serve as smart security module for monitoring. Traditional surveillance systems only records the activities based on motion, but this system serves the purpose of facial recognition so as to reduce the error caused due to motion detection .Raspberry Pi camera module is used to capture images once the motion is detected by the PIR Sensor. This system will monitor when motion detected and checks for the faces in the image captured and with the help of face recognition alerts if the face detected is not stored in the database.

Ever imagined playing hip hop beats as desired at just the motion of your hands in air. Well here we propose a raspberry pi based project that does just this. Our proposed system uses raspberry pi along with ultrasonic sensors in order to check user hand position and plays beats accordingly to allow making hip hop beats as desired. The proposed system uses ultrasonic sensors attached to raspberry pi in order to detect user hand positions. Based on the input received the user may change different beats or add effects in between. We use multiple ultrasonic sensors to allow for a variety of sound effects. Our system uses a speaker in order to play those beats. We here use raspberry pi board in order to get fast processing and no break constant music beats for good sound effects.

Thus our proposed system puts forward an innovative beat maker and mixer system.

Medication reminder solutions have become a matter of concern in health-care research, as advancements in treatments and medication may be offset by patients’ low attention to medication schedule. Medication mix-ups are extremely dangerous. Most of times patients may forget to take the medicines at proper time as per the specification in the prescription which may cause in late recovery from the disease/illness or some life-threatening mistakes. So, it is necessary to take proper medicines in proper quantity at proper time. In this context, an efficient reminder system should empower patients to accurately follow the prescribed medication program. This system will remind their user to take proper medicines in proper quantity at proper time by automatically setting the reminders in the system. These reminders will have to set up by users or their care takers as per the prescription. This reminder will remind their user patient that now it’s time to take the medicine with inputs provided as per user

We here propose a fully automated temperature scanner and entry provider system. It is a multipurpose system that has a wide range of applications. The system makes use of a contactless temperature scanner and a mask monitor. The scanner is connected directly with a human barrier to bar entry if high temperature or no mask is detected.

Any person will not be provided entry without temperature and mask scan. Only person having both conditions is instantly allowed inside. The system uses temperature sensor and camera connected with a raspberry pi system to control the entire operation.

The camera is used to scan for mask and temperature sensor for forehead temperature. The raspberry processes the sensor inputs and decides weather the person is to be allowed.

Spiritual intelligence is the science of human energy management that clarifies and in the era of COVID-19 in which everywhere there is a panic like situation and according to the World Health Organization Social Distancing will be proven to be the only solution. In this research paper, an innovative localization method was proposing to track humans’ position in an outdoor environment based on sensors is proposed. With the help of artificial intelligence, this novel smart device is handy for maintaining a social distancing as well as detecting COVID 19 symptom patients and thereby safety. In these COVID-19 environments, where everyone is conscious about their safety, we came up with the idea of this novel device. Most of the time, people on the roadside watched their front but were not able to look after what is going on behind them. The device will give alert to the person if someone in the critical range of six feet around him. The method is reasonably accurate and can be very useful in maintaining social distancing. The sensor model used is described, and the expected errors in distance estimates are analysed and modelled. Finally, the experimental results are presented.

At present time, drowsy driving has become one of the major issues of the traffic collision. According to statistics, a large number of road accidents occur due to drowsy driving which results in severe injuries and deaths. For this reason, various studies were done in designing systems that can examine the driver fatigue and alert him beforehand, thus preventing him to fall asleep behind the wheel and cause an accident. Some traditional approaches used vehicle-based measures to design their system, however, such measurements are highly influenced by the structure of the road, type of vehicle and the driving skill. Other approaches used psychological measures for their system that tend to provide better accuracy in monitoring the drowsiness of the driver. However, such techniques are usually intrusive as electrodes are required to be placed on the head and body. Furthermore, there are few existing researches in which subjective measurements are used as the input for the system, but, such methods can distract the driver and lead to an ambiguous result. In this paper, we proposed a system that is absolutely non-intrusive and real-time. Our proposed system used the eye closure ratio as input parameter to detect the drowsiness of the driver. If the eye closure ratio deteriorates from the standard ratio, the driver is alerted with the help of a buzzer. For our system, a Pi camera is used to capture the images of the driver’s eye and the entire system is incorporated using Raspberry-Pi.

Our paper deals with a security system that lets the user to see a visitor while main office door is locked. If the user is in the middle of the meeting in a conference room and having a visitor at the door, this system will send a notification to mobile or PC to unlock the front door using a Web browser. If the door bell has intercom facility, the user can talk to the visitor when the bell rings. We have used Raspberry Pi to implement our paper the smart lock system.

Face Recognition technology has improved drastically in the past decade and now it is primarily used for surveillance and security purpose. In today’s tutorial, we will learn how to build the Face Recognition Door Lock System using Raspberry Pi. This project consists of three phases:

• Data Gathering
• Training the Recognizer
• Face Recognition

Raspberry Pi and Solenoid Lock are connected through the relay module. Solenoid lock requires 9 to 12V, and Raspberry pi can provide only 5V. Due to this, a 12V adapter is used to power the Solenoid Lock. VCC and GND pin of the relay module is connected to 5V and GND of Raspberry Pi. The input pin of the relay is connected to GPIO23 of Raspberry Pi.

The positive pin of Solenoid lock is connected to the positive rail of the 12V adapter, while the negative pin of Solenoid Lock is connected to COM of Relay. Connect the NO pin of the relay to Negative of 12V adapter.

Weather is the day-to-day state of atmosphere that is hard to predict which affects the activities of mankind and has great significance in many different domains. However, the current weather station in the market is expensive and bulky which cause inconvenience. The aim of this project is to design a weather station with real time notifications for climatology monitoring, interface it to a cloud platform and analyse weather parameters. In this project, a weather station is assembled using Spark Fun Weather Shield and Weather Meter and Arduino Uno R3 to collect weather parameters. Data collected from the sensors are then stored into Google Cloud SQL using Raspberry Pi 3 Model B which acts as a gateway between them and analysis of weather data are done. A website and mobile application are developed using Google Data Studio and Android Studio respectively to display the real-time weather conditions in graphical presentation which are accessible by administrator and users. Users will receive notification regarding the weather conditions at that particular place on social media platform regularly and irregularly. Weather prediction is done in short term which allows users to get themselves prepared for their future plan in the next thirty minutes.

Now-a-days, in many cities/towns, we see that the garbage bins are filled with lot of waste which won’t take care by municipal people due to lack of information about it. In this paper, we present a solution for garbage monitoring system using Raspberry Pi and Ultrasonic sensor. A central system made up of Raspberry pi which monitors the garbage bins frequently and collects information about the amount of waste present in the garbage bins with help of ultrasonic sensor placed over it. The collected data will be updated to the municipal officer or to a user who is accessing it via an application in the form of GUI. This system monitors the garbage bins and informs about the level of garbage collected in the garbage bins in a web page or an application. Based on the information collected, the bins which have waste above some prescribed level will be cleaned up. This solution helps us to keep our city clean as well as to reduce traffic that occurs due to unnecessary travelling of municipal vehicles in the city/town.

In recent day scenario, the incessant increase in air and sound pollution prove to be an alarming problem. It has become mandatory to control and appropriately monitor the situation so that the required steps to curb the situation can be undertaken. In this project, an IOT-based method to monitor the Air Quality Index and the Noise Intensity of a region, have been proposed. The recommended technology comprises of four modules namely, the Air Quality Index Monitoring Module, the Sound Intensity Detection Module, the Cloud-based Monitoring Module and the Anomaly Notification Module. Firstly, the Air Quality Index is measured considering the presence of the five criteria air pollutants. Then the sound intensity is detected using respective sensor. After that, the Cloud-based Monitoring Module ensures the process of acquiring the data with the help of Wi-fi-module present in Raspberry Pi which fulfils the objective of analysis of information on a periodical basis. Finally, the Anomaly Notification Module alerts the user in case of an undesired condition.

It’s very difficult for mute people to convey their message to regular people. Since regular people are not trained on hand sign language, the communication becomes very difficult. In emergency or other times when a mute person travelling or among new people communication with nearby people or conveying a message becomes very difficult. Here we propose a smart speaking system that helps mute people in conveying their message to regular people using hand motions and gestures. The system makes use of a hand motion reading system equipped with motion and flex sensors along with a speaker unit. This system is powered by a battery powered circuitry to run it. A raspberry pi is used for processing the data and operating the system. The system consists of around 8 stored messages, “where is the toilet/washroom” and so on that help mute people convey basic messages. The system reads persons’ hand motions for different variations of hand movement. Thus we have a fully functional smart speaking system to help mute people communicate with regular people using a simple wearable system.

Colour based product sorting has a wide usage in fruits sorting as well as candy sorting industries. Now a day’s industrial area requires demand for automation. Due to automation human efforts are goes on decreasing day-by day. Since last decade .This system puts forward mechanism to detect colour and sort item through image processing. This mechanism is used to sort the candies into particular bins or baskets. Here, we are designing and implementing and efficient colour sorting using colour sensor TCS 3200, Arduino nano and servo motors.

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.

Drunk and drive is a leading cause of road accidents. Detecting drunken driving requires vehicles and manually checking or scanning drivers by using breath analyzers. In this project system uses alcohol sensor with raspberry pi along with Twilio to send SMS notification and LCD display and also motor to demonstrate as vehicle motor. This configures admin numbers into the system. And if the system detects driver is drunk above permissible limit, the sensor inputs trigger the processor about the issue. Also, the system stops the motor to demonstrate as engine locking the vehicle. Thus, the system detects and prevents drunk and driving accidents automatically.

This paper we propose a security patrolling robot that uses night vision camera for securing any premises. The robotic vehicle moves at particular intervals and is equipped with night vision camera and sound sensors. It uses a predefined line to follow its path while patrolling. It stops at particular points and moves to next points if sound is detected. The system uses IR based path following system for patrolling assigned area. It monitors each area to detect any intrusion using 360degree rotating HD camera. It has the ability to monitor sound in the premises. Any sound after company is closed and it starts moving towards the sound on its predefined path. It then scans the area using its camera to detect any human faces detected. It captures and starts transmitting the images of the situation immediately on sound or human face detection. Here we use IOT Local Area Network (LAN) for receiving transmitted images and displaying them to user with alert sounds. Thus we put forward a fully autonomous security robot that operates tirelessly and patrols large areas on its own to secure the facility.

To optimize the storage facilities in surveillance system, this Raspberry Pi project is developed with motion-based time-lapse camera to have better optimization on storage, which the system having fast frame rate when there is no motion in the Road, if there is motion in the area’s camera gets automatically optimized to  have slow frame rate of video to capture the motions. This makes highly optimized storage for camera footage storage.

The project is mainly concentrated on IOT based home automation using raspberry PI wireless home automation system using IOT helps us to control basic home appliances automatically through internet from anywhere around the world by using computers or mobiles. Now coming to this project the main objective is presenting a proposed system for smart home automation technique with Raspberry Pi using IOT and it is done by integrating cameras and motion sensors into a web application. To design this system, we are using a Raspberry Pi module with computer vision techniques.

We here propose a system that uses raspberry pi along with passive IR sensors, motors and lights to demonstrate an automated door opening and lighting control system. Proposed system allows for automated door opening using human detection with lighting control using raspberry pi. System detects human presence and then opens door automatically depending on the human sensing input detected. Also the system keeps track of lighting conditions in the room and depending on the lighting needed system switches lights to get desired illumination. Also system tries to detect number of humans present in room and then operates the lighting accordingly. All sensor data including pir as well as light illumination data is constantly transferred to the pi processor for processing which takes necessary actions as and when needed.

Internet of things (IoT) is the network of entities that consists of electronics, programmable software, sensors, and communication facility that enables these entities to gather and transfer data. The objective of the proposed system is to alert the remote user while the fire accidents occur. This system can be installed at any remote premise which has threat of fire accidents. Using this system we can detect the fire by camera. So sensors are not required to detect fire. The Raspberry Pi controller processes the camera input and detects fire using heat signatures. By using image processing method, the report is automatically generated and sends to the person immediately after the fire is detected in any part of the frame using Wi-Fi/GSM. On detecting fire, the system will go into emergency mode. The major advantages in this method are: sending the information to the person at any time, any place and remote monitoring for immediate actions.

A robot cart to deliver food on airplane autonomously is developed. In this report, the features of the robot cart are briefly introduced first. Then, the design of whole system is explained including circuit connection and programming algorithms. After that, the mechanical components are listed which are cart frame, wheel track, scissor screw and food box lifting structure. Following this, the electrical components are introduced including microcontroller board, manipulator, stepper motors. After these, there will be experiments to test the whole system and results will be recorded and discussed.

A vehicle key is the only way to start the car or to provide ignition to the engine. The face recognition based car ignition system literally replaces the car ignition by replacing the key with specific user face. While dealing with the topic the objective arises is the achievement of luxurious features and the safety concern, which can be achieved by means of the automotive electronics. In this paper, we are proposing facial recognition system by embedding face detection and face tracking system algorithm found in MATLAB with use of Raspberry pi B. The options of facial recognition and detection have been taken into consideration just because it is widely used in the interactive user interface and plays a crucial role in computer vision. There is a strong need for robust and efficient face detection algorithm

A major problem today for car owners is that they are in constant fear of having their vehicles stolen from a common parking lot or from outside their home. Image processing based real time vehicle theft detection and prevention system provides an ultimate solution for this problem. In this paper, a low-cost extendable framework for smart car security system is proposed, which consists of a FDS (Face Detection Subsystem), a GPS (Global Positioning System) module, a GSM (Global System for Mobile Communications) module and a control platform. The system described in this paper automatically take photos of driver and compares his or her face with database to check whether he is an authenticated driver or not. The face detection subsystem bases on optimized PCA algorithm and can detect faces in cars. The other modules transmit necessary information to users and help to keep eyes on cars all the time, even when the car is lost. This system prototype is built on Raspberry pi, controls all the processes. The owner is made able to perform car stopping through the message from his mobile. The GPS module in the car detects the location of the car. So by this system the identification of the thief and the location of the car are simply smarter and cheaper than traditional one.

Coma is a state of unconsciousness where the patient fails to respond. These patients need utmost care and 24*7 observations. This paper presents a continuous monitoring and recording of patient data without human intervention. If there is any sudden changes occur in the normal range of body parameters such as body temp falls or rise, blood pressure (B. P.) increases or decreases causing high or low B.P. where both are not stable conditions for better health, then it has facility to automatically alert the medical person. The movement sensor detects the patient movement and also generates an alert message to the medical person. As comatose losses their sensation for urination, medical person needs to continuously monitor urine output, thus we are using ultrasonic sensor to check on urine level. Medical person can keep the track of patient using login to the system. The software IoT API we are using isThingSpeak.

Women safety is the biggest challenge 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.

Computer Vision is the ability of computer to see. Open CV is a multiplatform software system and supports different programming language interfaces. Open CV based robots are intelligent robots that takes visual data, process on it and provide appropriate output. A Robot is based on open CV and designed on Raspberry Pi which is used for object detection and tracking depend on the object’s colour, size and shape. A robot can detect only one object a time. Robotic vision deals with image processing. In this project robot can detect the object and rotate as left/right direction and then moves forward and backwards depend on object’s movement. We use Python coding to identify the object with Open CV and ultrasonic sensor to maintain the distance between object and robot to avoid an obstacle. Pi camera located on robot chassis is used to capture the image.

Bus routes travel through a number of bus stops. Many times buses change routes and new bus stop names need to be configured in system. Many bus stops also change their names at times or sometimes new bus stops to are added into existing routes. So here we propose a speaking bus stop indicator system using raspberry pi. We use raspberry pi based circuit along with rf receiver based circuit to be placed in buses. Also we use a LCD display to display names of bus stops as they arrive. We use rf transmitter based circuits which will be placed on bus stops. This system does not need any bus stop name or route names to be stored in the bus system. Each bus stop system has a code and our receiver circuitry can be fed with as well as edited of existing bus stop names using a usb keyboard interface. Each bus stop system constantly transmits a unique bus stop code. When the bus comes in range of a bus stop the code is picked up bu bus system and it automatically feeds it to controller. The controller process this information to find out the name of corresponding bus stop and immediately converts it to voice command. It now speaks the bus stop name using a speaker to provide an automated raspberry pi based speaking bus stop indicator system.

Recognizing vehicle number plates is a difficult but much needed system. This is very useful for automating toll booths, automated signal breakers identification and finding out traffic rule breakers.
Here we propose a Raspberry Pi based vehicle number plate recognition system that automatically recognizes vehicle number plates using image processing. The system uses a camera along with LCD display circuit interfaced to a Raspberry pi. The system constantly processes incoming camera footage to detect any trace of number plates. On sensing a number plate in front of the camera, it processes the camera input, extracts the number plate part from the image. Processes the extracted image using OCR and extracts the number plate number from it. The system then displays the extracted number on an LCD display. Thus we put forward a fully functional vehicle number plate recognition system using Raspberry Pi.

This paper proposes an advanced system for process management via a credit card sized single board computer called raspberry pi based multi parameter monitoring hardware system designed using RS232 and microcontroller that measures and controls various global parameters. The system comprises of a single master and multiple slaves with wireless mode of communication and a raspberry pi system that can either operate on windows or Linux operating system. The main aim of the project is to capture the wildlife using ultrasonic sensor and raspberry pi microcontroller. Getting wildlife footage is a difficult task. Cameramen need to wait for hours or even days without moving to get desired footage. Here we propose an automated system with a uv activated recording camera that starts captures only when animal is detected. This has a lot of advantages.

Industrial automation has become very much popular these days because of its various advantages. This is achieved by using local networking standards and remotely controlling and monitoring industrial device parameters by using Raspberry Pi and Embedded web server Technology. Raspberry Pi module consists of ARM11 processor and Real Time Operating system whereas embedded web server technology is the combination of embedded device and Internet technology. Using embedded web server along with raspberry pi it is possible to monitor and control industrial devices remotely by using local internet browser. Use of these both technology reduce complexity of devices and also reduces overall cost of the system.