Artificial Intelligence for SPC5 automotive MCUs

Artificial Intelligence is disrupting the automotive industry. A well-known key enabler for self-driving cars, AI and machine learning keeps us safe due to its ability to recognize the car's surroundings and make decisions on whether it is safe to accelerate, brake, turn or change lanes.

Since vehicles are complex systems with countless components, Artificial Intelligence can also be used in many subsystems including Battery Management Systems to monitor the batteries' charge and their lifetime; to detect malicious intrusion attacks on the CAN protocol (SysCan); in Sensor Fusion units to detect mechanical anomalies or abnormal events; or in a gateway to secure the communication links between the car and the cloud. And the list is continuously growing...

With its multicore architecture with up to three PowerPC e200z4 cores at 200 MHz, 10 Mbytes of Flash memory and more than 1 Mbyte of RAM, our SPC58 Chorus series of automotive MCUs delivers the computational power required to efficiently implement tiny neural networks.

Thanks to the built-in SPC5Studio.AI component, you can develop your embedded application and import a pre-trained neural network from the most popular AI frameworks and training tools including TensorFlow Lite, Keras, Caffe, Lasagne. ONNX ensures support of the highly used frameworks, including PyTorch, Matlab, Paddle Paddle, MXNET, Chainer, Caffe2 and many more.
SPC5-Studio.AI provides target validation and complexity reports, allowing accurate profiling and reporting of the target's use through a tight integration with compilers supported by SPC5Studio.
Its built-in AI apps allow to easily deploy SPC5 analytics for a variety of sensing modalities (vision, audio, motion, chemical, etc.) targeting a wide range of automotive grade use cases.
Start your journey visiting  SPC5Studio.AI.