IoT-Based Wrong Way Vehicle Detection and Prevention System using Automated Spikes and Sensors

Wrong-way driving is one of the most dangerous traffic violations, frequently causing high-speed head-on collisions on highways, one-way roads, flyovers, and restricted zones. Conventional countermeasures such as static warning signs and manual enforcement are reactive and cannot guarantee continuous, real-time protection. This paper presents the design and prototype development of an IoT-Based Wrong Way Vehicle Detection and Prevention System that combines low-cost sensor technology with a motorised steel spike barrier. An ESP32-CAM module captures the approaching vehicle, and on-chip control logic determines the direction of travel. If a wrong-way entry is confirmed, a 60 RPM DC motor immediately raises the spike barrier to physically block the vehicle. Simultaneous Red LED and buzzer alerts notify the driver and nearby authorities. An Emergency Button and Remote Control Kit provide manual override for maintenance scenarios. Limit switches prevent mechanical over-travel. Compared with camera-based or deep-learning solutions that demand expensive hardware and fail in low-light conditions, the proposed sensor-logic approach is faster, cheaper, and weather-independent. A working prototype validates reliable detection and sub-second actuation. The system is designed for scalable deployment at highways, toll plazas, industrial zones, and gated communities, and is ready for extension with IoT cloud monitoring, solar power, and AI-enhanced decision making.