The latest advancements in camera technology are being driven by artificial intelligence and machine learning. These AI tools are providing the backbone for the next-generation in camera technology, helping to improve the features and capabilities for many of the latest smart camera devices. In this video, Qualcomm sits down with some leading minds from Thundercomm, ONVU Technologies, and Security & Safety Things to discuss the technologies and innovations driving next-gen AI cameras.

Digital transformation and digitization is about using the latest technology to streamline existing systems to make them smarter, faster, and more efficient. AI aims to do just that, especially with camera technology. Quick recognition , tracking and detection , requires advanced neural network processing, even more so with quad cameras and infrared cameras layered in. This technology is also vital for fast, accurate 3D modeling of large landscapes. Another important application for this comes from video analysis involved with security cameras, many of which use the Qualcomm AI Platform to identify and analyze security threats quickly and efficiently.

AI camera systems are also essential for applications working with large video file sizes. Many IoT camera applications require systems that can quickly, efficiently compress and manage large files, whether its security and monitoring devices or video and drone camera technology. Sensors on cameras can capture huge amounts of data, and the solution extracting this data is found in AI technologies.

With the Qualcomm AI Platform, AI cameras across many industries and applications are elevated to a quicker, smarter, and more efficient level of operation. Smart IoT devices are riding a new wave of digitization, with on-device machine learning, enhanced ISPs, and intelligent edge computing driving the next generation of AI innovation.

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