If you “zoom” out to think about the ways in which we’re now using cameras more broadly, you see that COVID has fundamentally changed the course of smart camera adoption, with a deluge of smart cameras changing work streams, catalyzing new use cases, and contributing to safer and more productive ...
. These capabilities, combined with analytics performed on the edge based on AI/ML modeling, have led to the ability to act on real-time data.
In turn, this type of near-immediate responsiveness enables better business decision making and better customer experiences across a wide variety of industries. This year’s ISC West clearly demonstrated how technology advancements fuel new solutions across an ever-growing number of sectors. For example, Qualcomm announced new ecosystem partnerships along with highlighting a full suite of chips and SoCs that power smart cameras across multiple tiers and use cases, including but not limited to:Used in conjunction with AI-powered people counting, smart cameras can assure that capacity protocols are followed and ideal occupancy levels maintained. Take it one step further and smart cameras with AI can also monitor mask wearing, track social distancing, and aid in contact tracing.
For those looking to join this transition toward greater smart camera usage, the easiest entry will likely be found by partnering with an established player that has ties across the full ecosystem. Qualcomm, for instance, is one such partner.
For customers, these types of IoTaaS offerings bring flexibility, cost savings, and ease of implementation and use. In short, the smart camera trend that accelerated during COVID looks to have a long runway left. Indeed, as AI becomes smarter and new camera architectures are developed, it’s likely that additional new use cases will emerge.
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