SBC-S32V234

eIQ Auto accelerates the development and deployment of ML/DL automotive applications. eIQ Auto currently supports the S32V234 ASIL processor, which is qualified and in volume production. eIQ Auto can be accessed via the NXP eIQ Auto community, which provides tutorials and guides on how to get up and running quickly in using eIQ Auto to develop your next ML/DL application with S32V234 processor.

Applications:

• • Advanced Park Assistance
• • Driver Monitoring Systems and Occupant Monitoring Systems
• • Front View Camera
• • Surround Sensing
• • Lidar Segmentation
• • Object detection, classification and tracking

Features and Benefits:

• • Training Frameworks: Interface to standard frameworks like TensorFlow, Pytorch, Caffe, and ONNX
• • Optimization: Prunes, quantizes, and compresses the Neural Network
• • Embedded Deployment: Automated neural net layer deployment to the optimum available compute resource
• • Auto Quality Inference Engine: A-SPICE qualified inference engine
• • Different types of networks are supported including detection, classification and segmentation
• • Includes optimized support for the following networks: MobileNetV1, MobileNetV2, SqueezeNet1.1, SSDMobileNet, ResNet-50, DeepLab v3 and SqueezeSeg