GeoSense

1. AI-Accelerated Onboard Intelligence

Equipped with a dedicated AI Accelerator, enabling real-time object detection, autonomous navigation, obstacle avoidance, and complex machine learning operations—completely independent of cloud or ground-based processing.

2. High-Performance Control Architecture

Built on the robust STM32H743 Microcontroller, offering fast and reliable execution of flight-critical algorithms like PID control and EKF-based navigation for ultra-stable and responsive flight control.

3. Integrated Single Board Computer (SBC)

Powered by the Raspberry Pi Compute Module 5, Geosense functions as a full-fledged onboard computer capable of running SLAM, Dead Reckoning, and custom mission-planning scripts—ideal for GPS-denied or dynamic environments.

4. Multi-Sensor Fusion Ready

Supports seamless integration of LiDAR, GPS, Cameras, IMUs, and other sensors via CAN, I2C, and other industry-standard communication protocols, enabling dynamic mapping, terrain awareness, and environment-adaptive control.

5. Long-Range, Reliable Communication

Dual-protocol support for LoRa and MAVLink ensures real-time, long-distance communication with ground stations or fleet networks—enabling BVLOS (Beyond Visual Line of Sight) missions with low-latency data links.

6. Optimized for Low SWaP UAVs

Compact form factor with optimized Size, Weight, and Power (SWaP) makes Geosense ideal for lightweight drones where every gram counts, without compromising on intelligence or computational power.