EdgeGuard: Multi-Modal Consensus Broker

Robots and self-driving machines need absolute certainty about their surroundings before they make a move. Our project acts as a real-time safety checkpoint for these autonomous systems. Instead of relying on a single point of failure, it constantly compares live data from multiple different sensors, including cameras, depth monitors, and lasers. Think of it as a team of spotters double-checking each other's work. ​If one sensor gets blinded by a glare, gets covered in dirt, or suddenly starts giving bad readings, our system catches the error immediately. It overrides the confused sensor, raises a high-risk warning, and completely stops the machine from making a dangerous physical movement. To show this in action, we built a live web dashboard. During our demonstration, viewers can use a slider to manually break a sensor reading on purpose. You can watch our system instantly spot the outlier, sound the alarm, and hit the brakes in real-time, proving that the machine only moves when it is objectively safe.