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Unlocking human-like perception in sensor-based technology deployments
Like most industries, the fields of security, access, and safety have been transformed by technology, with AI-driven automation presenting a clear opportunity for players seeking growth and leadership when it comes to innovation.
In this respect, these markets know exactly what they want. They require solutions that accurately (without false or negative positives) classify and track people and/or vehicles as well as the precise location and interactions between those objects. They want to have access to accurate data generated by best-of-class solutions irrespective of the sensor modality. And, they need to be able to easily deploy such solutions, at the lowest capex and opex, with the knowledge that they can be integrated with preferred VMSs and PSIMs, be highly reliable, have low install and maintenance overheads and be well supported.
With these needs in mind, camera and computer vision technology providers, solutions providers, and systems integrators are forging ahead and have created exemplary ecosystems with established partnerships helping to accelerate adoption. At the heart of this are AI and applications of Convolutional neural networks (CNN), an architecture often used in computer vision deep learning algorithms, which are accomplishing tasks that were extremely difficult with traditional software.
But what about 3D sensing technologies and perception?
The security, safety, and access market have an additional crucial need: they must mitigate risk and make investments that deliver for the long-term. This means that if a systems integrator invests in a 3D sensing data perception platform today, it will support their choice of sensors, perception strategies, applications, and use cases over time without having to constantly reinvest in alternative computer hardware and perception software each time they adopt new technology or systems.
This begs the question – if the security industry knows what it needs, why is it yet to fully embrace 3D sensing…
