Onboard video surveillance in public transportation is critical to ensuring the safety and well-being of passengers and personnel as well as for maximizing the overall customer experience. Now, AI-enabled Deep Learning is bringing new possibilities to the attention of rail, tram and bus operators. How can embedded developers cost-effectively maximize the potential of AI for their onboard applications and what are the key considerations when accelerating neural networks?

Highlights:

·        Onboard surveillance: A changing market                             

·        Harnessing the potential of Neural Networks

·        Efficient Neural Network Acceleration

o   Network Training

o   Network Accelerators

o   Inference Framework 

·        Kontron TRACe™ COTS PC Family with Neural Acceleration

·        Kontron TRACe™ Micro-cloud platform with GENETEC™ Security Center