Rock.et

The Rock.et project is an agile, cost‑efficient Counter‑UAV solution designed to intercept and neutralize hostile drones with precision. Built around a lightweight airframe with hybrid propulsion, the system combines rapid deployment with high‑speed interception capability. Its mission is to safeguard communities and infrastructure against unauthorized drones by leveraging advanced onboard sensing and autonomous guidance.

Work to Be Done

To mature the detection and guidance subsystem, the following tasks are prioritized:

• Dataset Development: Curate and annotate drone imagery (visible + thermal) under varied conditions.
• Model Training & Optimization: Develop lightweight, embedded‑ready classifiers with quantization and pruning.
• Real‑Time Pipeline: Implement OpenCV‑based detection fused with ML inference, optimized for companion computer hardware.
• Target Locking Algorithms: Develop robust multi‑frame confirmation and predictive tracking.
• Guidance Integration: Couple vision outputs with flight controller inputs for smooth, autonomous intercept trajectories.
• Simulation & Field Testing: Validate detection and lock‑on performance in both synthetic environments and live trials.

Summary

The critical path lies in building a robust detection, classification, and guidance stack that ensures reliable target acquisition and precise interception, even in contested or cluttered environments. This subsystem transforms Rock.et from a prototype airframe into a deployable Counter‑UAV solution.