1) Object detection on embedded devices faces challenges due to limited computing resources.
2) CEVA provides computer vision processors and IP cores that implement common computer vision algorithms like HOG, ORB, and SURF in an optimized way.
3) Their processors offer features like efficient filtering, flexible memory access, and vectorization that enable faster and more power efficient object detection compared to mobile GPUs.
1) Object detection on embedded devices faces challenges due to limited computing resources.
2) CEVA provides computer vision processors and IP cores that implement common computer vision algorithms like HOG, ORB, and SURF in an optimized way.
3) Their processors offer features like efficient filtering, flexible memory access, and vectorization that enable faster and more power efficient object detection compared to mobile GPUs.
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