AI in imaging applications usually requires the use of deep neural networks. Bottlenose™ has hardware acceleration for AI inference for neural network models for example YOLOv3, SSD, and others. Labforge provides pre-trained models that run out of the box. Users can also load their own models into the camera, provided that the layers are supported. Dataset collection, labelling, and model training services are available as part of support.
Bottlenose™ has 4 GB of on-board LP-DDR4 camera and 320 MB of flash storage to cater to large model sizes. This allows on-camera computation of full scale neural networks without the need for quantization and pruning.
Applications include segmentation, classification, detection, pose detection, and monocular depth estimation. These results are output over GigE Vision 2.1 and can be read via chunk data or as contours.