Edge AI and Privacy
As sensors and AI proliferate in our devices and our environment, people are understandably concerned about the potential erosion of privacy. For example, there has recently been much discussion in the media about face recognition technology, and some governments have begun to regulate its use.
It may initially seem that the proliferation of sensors and AI must lead to loss of privacy. In reality, it’s possible to design intelligent, perceptive devices in ways that deliver valuable capabilities while protecting privacy. An early example of this is the Netatmo Welcome, a smart home monitoring camera that can be configured to disable video recording when familiar faces are present.
The purpose of this privacy portal is to facilitate awareness of the challenges and opportunities at the intersection of privacy, edge AI and machine perception.
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Today's news report admittedly isn't as verbose as the average, but I hope you'll still find it informative…or at least entertaining. At minimum, in contrast to some other embedded vision applications (and products targeting them) that I've written about to date, which have a futuristic (and, dare I say, speculative) aspect, the near-term, practical aspects
As yesterday's post noted, embedded vision applications are rapidly broadening their reach beyond historical niches into widespread-adoption areas. Sometimes, this expansion occurs with the enthusiastic support of those being affected by it. Other times, though, the reaction isn't quite as sanguine. Such is the seeming case with facial recognition, which is the topic of an