To make vehicles and objects more autonomous, a processing solution must have the power to integrate vision capabilities and to accurately analyze the input of these devices. The ability to distinguish between different objects, in different lighting, under different environmental constraints and using a variety of different vision technologies (radar, cameras, Lidar, ultrasound, etc.), poses an ever-growing set of challenges for system architects. One key to developing solutions to meet these challenges is the integration of a real-time and high-performance processing system.
The MPPA® advantage
With both parallel and real-time processing, Kalray’s MPPA® processor offers a series of advantages that will make computer vision much more effective.
The key benefits:
- Parallel processing: the MPPA allows multiple applications to run concurrently, or several aspects of the same application to run in parallel. For computer vision, this means that visual identification and machine learning can run more efficiently, providing customers with real-time results. This, in turn, will enable applications like autonomous vehicles or medical imaging, which depend on accurate real-time processing.