| Horizontal Resolution [px] | 640 |
|---|---|
| Manufacturer | Prophesee |
| Package | mini PBGA |
| Pixel Size x [µm] | 15 |
| Pixel Size y [µm] | 15 |
| Product Type | Event-Based Sensors |
| Resolution [MP] | 0.31 |
| Sensor Size | 3/4 |
| Vertical Resolution [px] | 480 |
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.
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.
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.
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| In a traditional frame-based sensor, the whole sensor array is triggered at a pre-defined rhythm, regardless of the actual scene’s dynamics. This leads to the acquisition of large volumes of raw, undersampled or redundant, data. | In Prophesee’s patented Event-Based sensor, each pixel intelligently activates itself depending on the contrast change (movement) it detects. This enables the acquisition of only essential motion information, continuously. There is no framerate anymore. |
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.
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