Deep learning vision for everyday devices
The world’s most lightweight deep-learning software made for embedded CPU
Broadmann17 detects and locates objects in real time
Allowing applications such as augmented reality, robotics, home security, smart cities, and autonomous vehicles
Detection on smartphone – case study
To improve face detection in the smartphone camera without draining the battery, Brodmann17 implemented its deep learning on a single ARM A72 core. Achieving real-time with smallest face size of 25x25 and exceeding latest results in the popular benchmarks.
Broadmann17 detects and locates objects in real time
Allowing applications such as augmented reality, robotics, home security, smart cities, and autonomous vehicles
Speeding thing up
Brodmann17 Frames per second
-
Nvidia TitanX
200+
-
Samsung ARTIK10 A-15
25
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Intel i7 7700HQ
160
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ARM A72 (single core)
30+
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Intel NUC i3 5010U
60
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Raspberry Pi 3
4
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Nvidia Jetson TX1
40
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