With the drone industry quickly reaching new commercial and consumer markets with creative new applications such as 3D modeling and delivery services, drone applications are becoming increasingly more complex and require more processing power and I/O (input/output) interfaces. Currently, most of the flight controller options on the market are based on a microcontroller unit (MCU), which limits the potential for sensor fusion due to limited processing power and I/O extension capabilities. Developers seek a drone platform capable of powering complex and demanding applications.
The OcPoC (Octagonal Pilot on Chip) flight control platform, built completely from scratch by the Aerotenna team, is engineered to be a ready-to-fly “box” with integrated IMU, Barometer and GPS receiver, and features a CSI-camera interface to support high-resolution video streaming. The Altera Cyclone V SoC FPGA, functioning as the brain of the platform, provides clear advantages in terms of processing power and I/O capability. An industry-leading 100+ I/Os allow for sensor integration, while the combination of dual ARM cores plus FPGA logic enable sensor fusion, real-time AI and deep learning.
How to Achieve Safe and Reliable Autonomous Flying?
Sensors and Sensor Fusion
• Ultrasonic, Microwave
• Optical (Infrared, Vision)
Onboard Real-time Processing and AI
• Remote processing is not feasible during flight due to time sensitivity
The Brain of the Smart Drone
|Demands in Smart Flight||Technical Features of SoC FPGA|
|Sensor Interface and Communication||I/O Throughput|
|Sensor Signal Processing and Sensor Fusion||FPGA|
|High-level Decision Making and Flight Control||Embedded ARM® Processor|
|Real-time AI and Deep Learning||FPGA-based Real-time Processing|
Lets get down to the specifics
Updated less than a minute ago