Prophesee Metavision Sensor Gen3M VGA CD

Prophesee Active Vision Sensor, 0.31 MP: This active vision sensor features a resolution of 640 x 480 with a sensor size of 3/4 inch. Each pixel is 15 x 15 µm, with a typical latency of 40-200µs and a typical background activity rate of less than 1mHz. Maximum bandwidth is 66 Meps. It includes a Serial Peripheral Interface (SPI) and an active vision sensor size of H: 9.6mm, V: 7.2mm, D: 12mm.

Prophesee third generation Metavision® sensor, is now available in an industry-standard package. For the first time, Event-Based Vision’s light and efficient integration into existing system is made possible.

A new category of Machine Vision to unlock a new performance dimension in speed, precision and endurance for Ultra-High Speed counting, Vibration Measurement, Kinematic Monitoring and more.

• 640×480 VGA Event-Based sensor
• Package: 13×15 mm mini PBGA
• Dynamic Range: >120dB
• Typical Background Activity: <1MHz
• Max. Bandwith: 66Meps
• Throughput: >1000 Obj/s.
• Motion Period Irregularity Detection: 1%
• Minimal Amplitude Detection: 1 pixel

Advanced Toolkit

With Metavision sensor purchase comes a complementary access to an advanced toolkit composed of an Online Portal, Drivers, data Player and SDK. Prophesee is sharing an advanced toolkit so you can start building your own vision.

Try

New to Event-Based Vision and want to try before you buy? Download ESSENTIALS a free evaluation version of Metavision Intelligence suite. Experience all key features, without time constraints.

Reveal the Invisible between the FRAMES

On the LEFT, a simulation of Frame-Based Vision running at 10fps. This approach leverages traditional cinema techniques and records a succession of static images to represent movement. Between these images, there is nothing, the system is blind by design.

On the RIGHT, the same scene recorded using Event-Based Vision. There is no gap between the frames, because there are no frames anymore. Instead, a continuous stream of essential information dynamically driven by movement, pixel by pixel.

This drastically reduces the power, latency and data processing requirements imposed by traditional frame-based systems.