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Conventional frame-based computer vision approaches have practical flaws including size, weight, power consumption constraints, security concerns with cloud computation, transmission latency, and connectivity requirements

This approach has several practical flaws. The size, weight and power consumption of the device could prohibit deployment at the extreme edge or in covert sensing environments. Besides this, there are security concerns inherent in cloud-based or other off-device computation approaches due to the requirement of sending and receiving potentially sensitive data. Furthermore, this transmission of data introduces latency and requires consistent connectivity to the cloud infrastructure to function.
Neural and Evolutionary Computing30 Aug 2026

http://arxiv.org/abs/2608.27150v1