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Computer Vision AI: Parsing Concepts From Smarter AI and Qualcomm


I met Chris Piche, CEO of Smarter AIrecently, and I followed Qualcomm’s Connected Intelligent Edge effort for some time.

In some ways, the two companies could be synergistic with Qualcomm developing and driving the hardware side of more advanced devices, such as cameras, and Smarter AI is focused on making cameras that you are more capable.

Computer vision tools struggle with facial recognition issues, poor training sets, and a tendency to misidentify people. But computer vision isn’t just used to recognize people. It can be used to identify other things, such as a person carrying a gun or a child doing something dangerous.

Let’s talk about artificial intelligence (AI) as it applies to computer vision, Smarter AI, and Qualcomm.

Qualcomm’s Connected Intelligent Edge

The major issues to be addressed in this effort are the need to reduce latency and the amount of data pumped into the cloud for analysis.

The first can make alerts too slow and the second can result in bigger problems because the network congestion caused by these large video streams can degrade site performance.

By putting most of the intelligence inside the device, not only can it make decisions and send alerts closer to whatever the camera is looking at, but the switch is less disruptive to the overall network. , which results in much lower drag on. network speed and performance.

The overall effort will improve our ability to observe the world in real time and more quickly demonstrate the benefits of any relevant security camera deployment.

Smarter AI for holes

Smarter AI is focused on computer vision. Examples they shared were automated pothole scanners that can identify and report bad potholes in real time.

The same capability can be used for other things, such as finding roadside bombs for the military, finding defects that need to be repaired in and around buildings, and monitoring conveyor belts to identify and eliminate parts or assembly defects quickly and accurately.

The technology can be used to reduce distracted driving, detecting and alerting when a driver takes out and looks at their smartphone, looking for unsafe roads that need help, beyond potholes, and automated city, county, state, and federal vehicle camera systems that continuously look for problems or behaviors and report them, without distracting the driver and allowing problems to be corrected, where, otherwise, it may cause an accident.

Computer vision and the future

The combined technologies from the two companies will be critical to creating the relatively crime-free smart cities of the future by detecting crimes in progress, armed people in areas where the weapons, and an enhanced ability to detect anything from kidnapping attempts. to arrest and report minors carrying guns, to address such threats.

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While facial recognition raises a considerable number of privacy concernsusing computer vision to recognize objects can have a very positive short-term impact.

It sidesteps privacy issues, as it looks for things that don’t belong or are dangerous, rather than looking to break the latest untold story with a random video.

Computer vision and the intelligent connected edge promise a safer future, one where we can better understand and prevent unsafe behavior and the potential for cities to become smarter and more resilient. their sustainability issues.

In short, Smarter AI and Qualcomm can support a better, safer, and more data-driven world, with a positive impact on the quality of our businesses and personal lives.



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