amandewatnitrr / aztecs-logitraffic

LogiTraffic is an IoT based Deep Learning Powered Traffic Management and Theft Detection Solution. It’s an online website platform using which user can keep check on certain real-time parameters associated with the vehicle which includes fuel-level, GPS location, Brake System Temperature, Speed, Traffic Forecasting using Vehicle Detection and obtaining vehicle count through different road nodes and predicting Traffic Congestion/Jams. In case the user suspects his/her car has been stolen by logging in using the credentials one can lock the vehicles and see driver’s real time video stream and a picture of the driver is downloaded on the system so that it can be used for further investigation and police cases. (YouTube Video Presentation by Team Aztecs: https://youtu.be/rP2OGjZJ5NY) – Presented in E-Ujjwala Hackathon 2020 by Birsa Institute of Technology, Jharkhand (Team Aztecs - Finalists)

Aztecs-LogiTraffic

LogiTraffic is an IoT based Deep Learning Powered Traffic Management and Theft Detection Solution. It’s an online website platform using which user can keep check on certain real-time parameters associated with the vehicle which includes fuel-level, GPS location, Brake System Temperature, Speed, Traffic Forecasting using Vehicle Detection and obtaining vehicle count through different road nodes and predicting Traffic Congestion/Jams. In case the user suspects his/her car has been stolen by logging in using the credentials one can lock the vehicles and see driver’s real time video stream and a picture of the driver is downloaded on the system so that it can be used for further investigation and police cases. (YouTube Video Presentation by Team Aztecs: https://youtu.be/rP2OGjZJ5NY) – Presented in E-Ujjwala Hackathon 2020 by Birsa Institute of Technology, Jharkhand (Team Aztecs - Finalists)

RPi Camera Connection

Current Circuitry for prototyping

LogiTraffic Login Page and Dahboard

Vehicle Detection for Counting

Vehicle Density Prediction

Face Recognition using Siamese Network

Loss Curve for Vehicle Identification

Congestion at different nodes

1. Congestion Node 2
2. Congestion Node 3
3. Congestion Node 4