CleverCruise

Inspiration

Every year, thousands of road accidents occur due to delayed human reaction, distraction, or poor visibility. Inspired by advancements in AI-powered perception and autonomous mobility systems developed by companies like Tesla and Waymo, we wanted to design a smarter, safer driving experience.

CleverCruise was born from a simple but powerful idea: what if a car could instantly recognize a person in its path and stop before danger happens? Our goal was to create an AI-driven vehicle system that prioritizes pedestrian safety while making transportation more intelligent and responsive.

What it does

Using computer vision and deep learning, CleverCruise analyzes live camera feeds to identify human shapes, movement patterns, and proximity. When a pedestrian enters a predefined safety zone, the system immediately triggers braking protocols to prevent collisions.

How we built it

The detection system uses neural networks similar to YOLO-based architectures for fast object detection. The AI processes live video frames, identifies humans, calculates distance, and sends commands to the braking system in milliseconds.

Challenges we ran into

One of the most frustrating challenges was troubleshooting hardware failures. At times, sensors appeared to malfunction, but the issue turned out to be broken or loose wiring. Diagnosing these problems required carefully testing each connection, checking voltage outputs, and isolating components one by one.