ADVANCED IOT BASED GREEN HOUSE

IOT Projects

Showing 1–16 of 31 results

  • 4.00 out of 5

    ADVANCED IOT BASED GREEN HOUSE

    8,500.00 7,400.00

    This Advance project is designed to monitor the green house using Arduino controller. Various sensors are used to monitor the system. The sensors used are Rain sensor, Soil moisture sensor, DHT 11 sensor, fire detector and LDR. Multiple sensors are used to control various parameters. Continuous monitoring of the green house parameter and their conditions. And further Data will be uploaded over the IOT.

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  • 4.00 out of 5

    AUTOMATIC CLOTH DRYING SYSTEM USING PIC CONTROLLER OVER IOT

    8,500.00 7,200.00

    Drying of clothes in rainy season have become a domestic concern in recent years .In this proposed system we are continuously monitoring the area where we dry out our clothes especially when it’s raining and upload the data over IOT.

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  • 4.00 out of 5

    EARTHQUAKE DETECTION & IT’S MONITORING OVER IOT

    8,600.00 7,200.00

    In this processed system, we are monitoring the earthquake, if any vibration/ tilt of the earth’s surface takes place; the system will alert us and send the data over IOT page. So to avoid the life loss and economic loss we are developing this device.

    In this project we are using Arduino board i.e. the heart of project, 2-vibrator sensor, 2-accelerometer, LCD display. An accelerometer is an electromechanical device used to measure acceleration forces and also for sensing vibrations in systems or for orientation applications. So when some orientation according to x-axis, y-axis or z-axis happens to the earth’s surface then it will display a message on LCD that there is Earthquake. And also sends data on IOT page through Wi-Fi module.

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  • 5.00 out of 5

    FACE DETECTION BASED ATTENDANCE SYSTEM BY IMAGE PROCESSING USING RASPBERRY-PI OVER IOT

    21,000.00 19,000.00

    In proposed system face detection based attendance system by image processing using raspberry-pi. We have used image processing concept to detect each and every student is present or not. Face recognition system is widely used for human identification due to its capability to measure and subsequently identifies human identification. Open CV/ Python library is formulated as given images of a scene identify or verify one or more persons in the scene using a stored database of faces. Thus, the images are extracted and allowed to match with the database images. If the images are matched, then it will sends the image to the an email id. So this image of the person can be viewed by online user.

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  • 5.00 out of 5

    GSM & GPS BASED SOLDIER TRACKING & HEALTH MONITORING SYSTEM

    17,800.00 14,000.00

    Army is one of the most important aspects of any country. It is our duty to equip soldier with better advanced technology. In this proposed system, we are monitoring the soldier’s health parameters such as heart beat rate and body temperature continuously measured and transmitted wirelessly to the control room using GSM and also the exact location through GPS.
    Here we are using voltage regulator circuit for power supply, Blood pressure & heartbeat sensor, MQ-7 sensor, temperature sensor, Wi-Fi module, GSM, GPS, buzzer and LCD display these are also the hardware parts of this projects. By using temperature sensor we can monitor the soldier’s body temperature. If smoke is detected due to fire air it is detected by using MQ-7 sensor. With the help of heartbeat & blood pressure sensor we can read the heartbeat & B.P respectively.

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  • 4.00 out of 5

    HEALTH MONITORING OF PATIENT OVER IOT

    18,700.00 14,000.00

    In this proposed system, we are monitoring the patient’s health by using arduino board & sensors. Here we are using adapter for power supply even you can use 2 amp transformer. Blood pressure & heartbeat sensor, MQ-7 sensor, temperature sensor, Wi-Fi module, buzzer and LCD display these are also the hardware parts of this projects. By using temperature sensor we can monitor the patient’s temperature. For monitoring the air quality of the room we are using MQ-7 sensor. With the help of heartbeat & blood pressure sensor we can read the heartbeat & B.P respectively.

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  • 4.00 out of 5

    HEARTBEAT MONITORING SYSTEM OVER IOT

    6,200.00 5,800.00

    In this proposed system, we are monitoring the patient’s heartbeat by using arduino board & heartbeat sensors. A technological innovation in the field of medical science has played a vital role in disease prevention and diagnostic. Heartbeat is an important health parameter that is related to the human cardiovascular system.

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  • 5.00 out of 5

    HOME AUTOMATION USING GOOGLE ASSISTANT

    6,700.00 5,000.00

    This project presents a proposal for home automation using voice via Google Assistant. World’s demand for electricity had grown 85% between 2010 and 2017 this increase is more than today’s total use of electricity in India, USA, Japan, Australia combined. We can’t decrease the electricity growth rate but we can lessen the amount of electricity wasted each year by turning off our home appliances when not in use. This project presents a design and prototype of Home Automation system that will use node MCU module as a network provider in connecting with other appliances.

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  • 5.00 out of 5

    INDOOR POLLUTION MONITORING & CONTROL SYSTEM

    6,200.00 4,900.00

    Air pollution is a growing issue these days. Air pollution is a mixture of solid particles and gases in the air. Car emissions, chemicals from factories, dust, and pollen may be suspended as particles. Effect of air pollution has many bad things and the others may cause problems to our health, for instance, asthma, cough, and lung disorders. It is necessary to monitor air quality and keep it under control for a better future and healthy living for all. The sensors interact with Arduino UNO which processes this data and transmits it over internet.

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  • 0 out of 5

    INDUCTION MOTOR SPEED CONTROL AND DATA MONITORING OVER IOT

    17,400.00 15,000.00

     

    In this project we give a special idea of industrial automation, and fault monitoring. Induction motors are the nerves of many industries. Hence industrial automation is required for precise and accurate operation. The project Arduino-based parameter monitoring system for induction motor proposes a control and monitoring system for induction motor based on Arduino communication protocol for safe and economic data communication in industrial fields. The current, voltage, and temperature of the induction motors are very important parameters for its control system. The performance of an induction motor is directly affected by these fundamental quantities.

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  • 4.00 out of 5

    INDUSTRIAL AUTOMATION USING LDR & SMOKE SENSOR OVER IOT

    8,000.00 6,600.00

    The IOT industry protection system using smoke sensor,LDR sensor& IOTcontroller is a system designed to protect industries from losses due to accidents using Internet of things.

    Gas leakages may lead to fires leading to huge industrial losses, also instant fire detection is needed in case of furnace blasts or other conditions.

    Also low lighting in industries may create improper work conditions increasing the probability of accidents.

    The system makes use of smoke sensor, LDR sensor& IOT Controller to achieve this functionality.

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  • 3.00 out of 5

    IOT BASED HOME AUTOMATION USING BLYNK

    9,900.00 7,800.00
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  • 5.00 out of 5

    IOT CONTROL HOME AUTOMATION BY USING BLYNK APP

    8,000.00 5,200.00

    The main objective of this project is to develop a home automation system with IoT application by using BLYNK app. As technology is advancing so houses are also getting smarter. Modern houses are gradually shifting from conventional switches to centralized control system, involving wireless controlled switches. Presently, conventional wall switches located in different parts of the house makes it difficult for the user to go near them to operate. Even more it becomes more difficult for the elderly or physically handicapped people to do so.

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  • 5.00 out of 5

    IOT THEFT DETECTION USING RASPBERRY-PI

    17,300.00 14,200.00

    In proposed system IOT based theft detection project using Raspberry Pi we have used image processing concept to detect theft using motion. The system provides an innovative approach to theft detection using IOT. This system secures offices/homes from theft by instantly detecting theft as well as allowing user to view the theft details.

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