Prophesee has introduced its GenX320 starter kit for Raspberry Pi 5, bringing neuromorphic vision to the Raspberry Pi embedded development platform for the first time. Featuring the small and ultra-efficient GenX320 event-based vision sensor, the kit connects directly to the Raspberry Pi 5 camera connector to allow development of real-time applications such as event-based vision for drones, robotics, industrial automation, and surveillance.
GenX320 starter kit for Raspberry Pi 5 (Source: Prophesee)
The kit enables developers to create solutions based on Prophesee’s advanced Metavision event-based vision platform via the company’s OpenEB with Python and C++ APIs, the open-source core for the Metavision SDK.
“Event-based vision is a paradigm shift from traditional frame-based approaches. It doesn’t capture entire images at once but instead detects changes in brightness, known as “events,” at each pixel,” Prophesee said. “This makes sensors much faster (responding in microseconds), able to operate with much less data and processing power, and be more power-efficient than traditional sensors.”
The kit is aimed at applications that are limited by traditional framed-based vision. These include drones and robotics such as obstacle avoidance, drone-to-drone tracking, and real-time SLAM; industrial IoT applications including 3D scanning, defect detection, and predictive maintenance, and surveillance and safety for intrusion detection, fall detection, and motion analytics.
GenX320 starter kit applications (Source: Prophesee)
The GenX320 Starter Kit is built on the GenX320 sensor with a 320 × 320 resolution, >140-dB dynamic range, event rate equivalent to ~10,000 fps, and sub-millisecond latency. The sensor also offers power-efficient operation of <50 mW.
The event-based camera module connects directly to Raspberry Pi 5 (sold separately) via the camera connector MIPI CSI-2 (D-PHY) interface. The kit is available with M6 (FOV 104° lens) and M12 (FOV 76° lens) mounts.
The GenX320 Starter Kit for Raspberry Pi 5 is available for pre-order starting August 26, 2025, through Prophesee’s website and authorized distributors. Developers will have access to drivers, data recording, replay, and visualization tools on GitHub.
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