Peophesee, the French neuromorphic vision sensor specialist, has availability of  an  event-based vision sensor developed for integration into Edge AI vision devices.

The GenX320 Event-based Metavision sensor has a 3x4mm die size and targets AR/VR headsets, security and monitoring/detection systems, touchless displays, eye tracking features and always-on smart IoT devices.

The 320×320 6.3μm pixel BSI stacked sensor offers a  1/5” optical format. It has been developed with a focus on the requirements of efficient integration of innovative event sensing in energy-, compute- and size-constrained embedded at-the-edge vision systems.

GenX320 benefits include:

Low latency µsec resolution timestamping of events with flexible data formatting.
On-chip intelligent power management modes reduce power consumption to as low as 36uW and enable smart wake-on-events. Deep sleep and standby modes are also featured.
Easy integrability/interfacing with standard SoCs with multiple integrated event data pre-processing, filtering, and formatting functions to minimize external processing overhead.
MIPI or CPI data output interfaces offer low-latency connectivity to embedded processing platforms, including low-power microcontrollers and modern neuromorphic processor architectures.
AI-ready: on-chip histogram output compatible with multiple AI accelerators;
Sensor-level privacy-enabled thanks to event sensor’s inherent sparse frameless event data with inherent static scene removal.
Native compatibility with Prophesee Metavision Intelligence, the most comprehensive, free, event-based vision software suite, used by a fast-growing community of 10,000+ users.
It is useful for:

High speed eye-tracking for foveated rendering for seamless interaction in AR/VR/XR headsets
Low latency touch-free human machine interface in consumer devices (TVs, laptops, game consoles, smart home appliances and devices, smart displays and more)
Smart presence detection and people counting in IoT cameras and other devices
Ultra-low power always-on area monitoring systems
Fall detection cameras in homes and health facilities
It is supported by a range of development tools for exploration and optimisation, including an Evaluation Kit housing a chip on board (COB) GenX320 module, or a compact optical flex module.

In addition, Prophesee is offering a range of adapter kits that enable p connectivity to a large range of embedded platforms, such as a STM32 MCU