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IoT Projects

With the Assistance of Imiot TechnoLabs

Smart Helmet Using IoT

  • This system is to design a helmet that provides safety to bike riders and to prevent over a drink and  drive cases. It detects whether the rider met with an accident if any one meets, then it alerts the  guardian about the accident and sends SMS. The idea behind this project is to ensure the “safety on  two wheels” for a safety journey.
  • Alcohol sensor 

  • Accelerometer 

  • RF transmitter 

  • Switch 

  • Arduino

  • GPS tracker 

  • GSM modem 

  • Microcontroller 

  • LCD 

  • RF receiver

  • The implementation of this system provides effective detection of accidents and is also low cost.  This system provides safety measures in motorcycles and avoids road accidents and detects  whether the rider met with an accident if anyone meets, then it alerts the guardian about the  accident and sends SMS.
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  • We can implement various bioelectric sensors on the helmet to measure various activities and we  can view the statistics of the rider.
  • We can use voice commands to control the basic bike  functionalities.
  • Now the rider can leave the helmet on the two-wheeler while parking, without any  special actions or security measures.
  • We can use solar energy on two-wheelers for charging the  electric vehicles and for mobile devices.
  • In the future self – driving motorbikes can be developed  with artificial intelligence and the rider will be safe and no accidents will occur.
  • Arduino and Circuitry
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ioT Based Biometric Attendance System

  • In this smart attendance system, the notion of Internet of Things is put-in into an attendance system of a classroom. 
  • Due to the increasing development in the area of cloud-based computing, there are various storing systems in which the data is often precisely stored and can be fetched anytime. 
  • Basically, fingerprints are considered as the foremost reliable type of thing to be used in biometric systems. The project contains an FPS that identifies the identity of student by scanning the fingerprint. 
  • If the biometrics of the fingerprint of a particular student which is scanned get matched with the data records which is present on the database of the cloud, then the attendance of that student is marked as present. 
  • This attendance system saves the time and it proves to be highly secured than the usual manual attendance system
  • Arduino Uno 16*2 LCD display

  • GT511C3 Finger print sensor

  • ESp8266 Wi-Fi Module

  • one To automatize the procedure of attendance.
  • The system can be use in biometric attendance of students.  

  • This technique is often used for real time monitoring of any class’s strength andmaintaining the  attendance records in real time.
  • It can be used for security purposes where high-level security is desired.
  • We can implement various bioelectric sensors on the helmet to measure various activities and we  can view the statistics of the rider.
  • We can use voice commands to control the basic bike  functionalities.
  • Now the rider can leave the helmet on the two-wheeler while parking, without any  special actions or security measures.
  • We can use solar energy on two-wheelers for charging the  electric vehicles and for mobile devices.
  • In the future self – driving motorbikes can be developed  with artificial intelligence and the rider will be safe and no accidents will occur.
  • Algorithm
  • Things Board
  • Arduino IDE
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IoT Theft Detection Using Raspeery Pi

  • IOT based theft detection project using Raspberry Pi” . 
  • Internet of (IOT) has been governing the electronics era, with cloud services dominating the ever-increasing electronics product segment.  
  • This system secures offices/homes from theft by instantly detecting theft as well as allowing the user to view the theft details, thereby highlighting the theft details and saving the video on a USB drive. 
  • In this system, we use a camera along with Raspberry Pi along with a circuit with LCD display IR for night vision and USB drive for storage. 
  • The system is powered by a 12V power supply. 
  • As soon as camera motion is detected in camera footage, the system uses image processing to detect an exact area of motion occurrence and highlights it accordingly. 
  • The system now transmits the images of the occurrence over IOT to be viewed by the user online. We here use IOT Gecko to develop the online system. Also, it stores the footage in a USB drive for further reference. 
  • The user can now decode the data sent online using IOT Gecko IOT system to view the images of the motion  occurrence live remotely over the internet.
  • Raspberry Pi Development Board UVC (Universal Video Class) Driver Camera IR Sensor
  • Linux Operating system 

    C++ & Qt for Embedded Linux 

    Open CV

  • Security and safety have always become a basic necessity for the urban population. 
  • To monitor and to detect, we use CCTV cameras. In surveillance, CCTV camera is costly because of the use of a computer. 
  • It reserves too much space for continues recording and also requires manpower to detect the unauthorized Activity. 
  • To overcome, we came across with Raspberry Pi using IOT. 
  • Compare to existing system, Raspberry Pi is much cheaper with better resolution and low power consumption features. 
  • This project  “IOT based theft detection project using Raspberry Pi” where we use image processing on live video to detect theft using motion and also highlight the area where motion occurred.
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  • Linux 

  • C++ & Qt for

  • Embedded Linux 

  • Open CV

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IoT Early Flood Detection & Avoidance

  • IoT Early Flood Detection & Avoidance System” is an intelligent system which keeps close watch over various natural factors to predict a flood, so we can embrace ourselves for caution, to minimize  the damage caused by the flood.
  • Natural disasters like a flood can be devastating, leading to property damage and loss of lives.
  • To eliminate or lessen the impacts of the flood, the system uses various natural factors to detect the flood.
  • The system has a Wi-Fi connectivity; thus, it’s collected data can be accessed from anywhere quite easily using IoT.
  • Microcontroller

  • Sensors

  • Water level measurement

  • Rainfall measurement

  • Pressure measurement

  • Power supply

  • This paper focuses on providing early warnings to areas likely to be ravaged by flood events using Wireless Sensor Network (WSN).

  • The system involves the deployment of sensor nodes at specific flood vulnerable locations for real-time flood monitoring and detection.

  • Flood events relating to  flash flooding and run-off water or overflow are successfully monitored in real time which saves individuals plenty of time to prepare against predicted flood occurrence, saving them from the aftermath of flood disaster.

  • The system was tested via simulation of different flood scenarios, and  the outcome was efficient and accurate.

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IoT Based Smart Streetlight System

  • The smart street lighting system is a system that adjusts light output based on the usage and occupancy, i.e., automatic classification of pedestrian versus cyclist, versus automotive.
  • The project  is mainly implemented to track the intensity of the light using sensors, and it is done using the wireless system to control the energy consumption and uses reduction measures through power conditioning and control.
  • Power supply 

  • LDR sensor 

  • NODEMCUESP8266 

  • Relay 

  • Bulb

  • The system can be enhanced by writing logic into the code and that can be able to retrieve information of the time of sunset and sunrise from a reliable weather reporting source and automate the process completely by turn ON the streetlight at the time of sunset and turn it OFF by sunrise.

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  • By using the API key, the generated data is stored in Thingspeak database.
  • Arduino IDE 

  • Thingspeak

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