(This project was finished on 2022 Aug, the repo showing now is the public version of it (for some credential reasons I cannot make the origin Github repo public))
An IoT vehicle tracking face recognition device using Raspberry Pi 4 with sensors and an Intel Neural Compute Stick in Python, along with a Kotlin mobile application to track the vehicle.
This is a graduation group project from the National Central Univeristy, MIS major.
This repo is the code of Raspberry Pi 4 part.
Here is the device structure:
The device can also be integrated with our Kotlin app. (However, it's not shown in the this repo)
To prevent drunk driving:
The demo part starts at 1:34
- Python
- Kotlin (For mobile app)
- Firebase (For tracking the status)
- OpenCV
- OpenVino
- SVM
- Raspberry Pi 4
- MQ-3 Gas Sensor
- GPS Module
- PiCamera
Face Recognition With Raspberry Pi and OpenCV