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This project utilizes the custom object detection model to monitor parking spaces in a video feed. It identifies vehicles in the video and overlays polygons representing parking spaces on the frames. The program then calculates the number of occupied and free parking spaces based on the detected vehicles and the predefined parking space polygons.
We are already using the intelligence of the connected car with companion apps that recognize when the car is in a paid parking area and later auto-stops when leaving. Creating a simple customer-focused payment solution for parking.
CarParking: Distance sensor sends signal to server and based on time of request distance is calculated between floor and roof. This distance is used to decide whether Car is parked or not. Server code is done using NodeJs and Front End is done using HTML, CSS and Javascript