A low-power end-to-end hybrid neuromorphic framework for surveillance applications

22 Oct 2019Andres UssaLuca Della VedovaVandana Reddy PadalaDeepak SinglaJyotibdha AcharyaCharles Zhang LeiGarrick OrchardArindam BasuBharath Ramesh

With the success of deep learning, object recognition systems that can be deployed for real-world applications are becoming commonplace. However, inference that needs to largely take place on the `edge' (not processed on servers), is a highly computational and memory intensive workload, making it intractable for low-power mobile nodes and remote security applications... (read more)

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