Starter kit brings event-based vision to Raspberry Pi 5
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Prophesee has launched the GenX320 Starter Kit for Raspberry Pi 5, making its breakthrough frameless sensing technology available to the Raspberry Pi developer community for the first time.
Built around the ultra-compact, ultra-efficient GenX320 event-based vision sensor created by Prophesee, the kit connects directly to the Raspberry Pi 5 camera connector, enabling the development of real-time applications that leverage the advantages of event-based vision for drones, robotics, industrial automation, surveillance, and more.
The GenX320 sensor is the smallest and most power-efficient event-based vision sensor available. With a 320×320 resolution, >140 dB dynamic range, an event rate equivalent to around 10,000 fps, and sub-millisecond latency, the sensor provides the performance needed for demanding real-time applications on an embedded platform.
The kit enables efficient, cost-effective and easy-to-use access to develop systems based on the advanced Metavision event-based vision platform from Prophesee, via its OpenEB, open-source core of its award-winning 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. Event-based vision 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.
“This launch makes our pioneering approach available to a highly engaged global developer base that’s already pushing the boundaries of embedded and edge applications,” said Luca Verre, co-founder and CEO of Prophesee. “With the GenX320 Starter Kit for Raspberry Pi 5, we’re making event-based vision more open, easy, and accessible than ever before.”
The kit is purpose-built to enable real-world, real-time applications where traditional frame-based vision struggles, including:
- Drones and robotics: Obstacle avoidance, drone-to-drone tracking, and real-time SLAM.
- Industrial IoT: 3D scanning, defect detection, and predictive maintenance.
- Surveillance and safety: Intrusion detection, fall detection, and motion analytics.
Key features include a compact event-based camera module with MIPI CSI-2 interface, native integration with Raspberry Pi 5 (board sold separately), power-efficient operation with <50 mW sensor-only consumption and OpenEB support with Python and C++ APIs. Developers can access drivers, data recording, replay and visualisation tools on GitHub.
www.prophesee.ai
www.raspberrypi.com
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