Ford Canopy

We developed a fully custom, sensor-fusion AI, leveraging sound and motion to detect vehicle break-ins before they happen. It was designed with severe power constraints to continuously run at the edge, requiring us to innovate across all stages of the model development cycle.

Data collection and QA

We conducted a robust training data collection campaign with specialists simulating vehicle break-ins. to capture, annotate, and test thousands of audio and motion samples.

R&D, model architecture

We applied advanced sensor fusion and AI techniques to create high-performing binary and multi-class classifiers while significantly reducing false positives. Packaged into a state-of-the-art threat detection algorithm.

Embedded Engineering

Our embedded engineering team collaborated with top AI chip manufacturers to optimize models for low-power edge environments, enabling seamless integration into Ford’s hardware development cycle.