IoT Blind Corner Collision Detection
An ESP32-based system using ultrasonic sensors to detect approaching vehicles at blind corners, with a live web dashboard.
Project Overview
A hardware-software IoT project that places ultrasonic sensors at blind road corners to detect vehicles and warn approaching drivers in real time. Data is streamed to a Firebase Realtime Database and visualized on a web dashboard built with Chart.js.
Blind corners in warehouses, parking lots, and narrow roads are a major cause of low-speed vehicle collisions that could be easily prevented with early warning systems.
An ESP32 microcontroller reads data from multiple HC-SR04 ultrasonic sensors and triggers LED/buzzer alerts. Vehicle count and sensor data are pushed to Firebase and displayed on a live dashboard.
Key Features
Technology Stack
Challenges
- Resolving sensor crosstalk between adjacent ultrasonic sensors
- Implementing accurate exit-based vehicle counting logic
- Maintaining stable WiFi connection on the ESP32
Lessons Learned
- Sensor placement and physical setup matters as much as the code
- Debouncing and timing logic is critical in embedded systems
- Firebase is an excellent quick backend for IoT prototypes
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