Deep learning has swept through the IT industry, bringing benefits and better classifications to a number of applications. Inspired by the way the human brain works, the technology uses a layered learning process to enable the computer to classify, store and access data, which it can then refer to for learning.
Deep learning has swept through the IT industry, bringing benefits and better classifications to a number of applications. Inspired by the way the human brain works, the technology uses a layered learning process to enable the computer to classify, store and access data, which it can then refer to for learning. This means it can use a whole image to recognize, rather than rely on separate elements of that image. This is a cumulative process — the more elements it has to draw on, the better the classification — thus, the better the "learning."
The benefits of this technology for face recognition and image classification makes it hugely valuable in the field of security. It touches on every aspect of the security industry — from facial and vehicle detection to behavior analysis. This, in turn, starts to change the focus of security from being reactive to being able to predict problems before they happen.
Hikvision has taken this technology and innovated a family of products to maximize its use. The
DeepinView IP camera range and the
DeepinMind NVR range work together to provide all the power and benefits of deep learning. While the cameras provide the smart "eyes" of the system, the NVR represents the analytic and storage capabilities of the brain. The products help to tackle security on two fronts — recognition, monitoring and counting of people and recognition and detection of vehicles. This uses deep learning technology at its most effective — for its ability to classify and recognize thousands of ‘"eatures."
Obviously, this multi-layered approach uses a lot of memory and performance, which is one of the reasons why the technology has become much more widespread in the past few years. To put this into perspective, in the first stages of the technology, it took 1,000 devices with 16,000 CPUs to simulate a neural network. Now, just a few GPUs are needed. Hikvision is partnering with the largest of the chipset brands — Intel and NVIDIA — to explore the possibilities of deep learning for the surveillance industry. Hikvision’s innovation also facilitates and improves on this — the H.265+ codec radically reduces transmission bandwidth and data storage capacity requirements. This means there’s no loss of quality even though the data being shared and stored is exponentially higher.
Applications are numerous. The technology could enable the system to provide a black list/white list alarm, for example, which could come in very handy in access control scenarios. It could also be used to recognize unusual behavior — possibly allowing security staff to prevent an issue if people are found loitering nearby, for example.
The new premium range of products will further extend the quality and capabilities of security systems. They will also allow security professionals to start planning to avoid issues, rather than reacting to them. This could be the next evolution of the whole industry — using AI to change the world, one Hikvision solution at a time.
For more information, check out Hikvision's article “How Deep Learning Benefits the Security Industry"
Link here.
And keep an eye on the Hikvision website to see launches of the new DeepinView and DeepinMind products later this year.
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Digital Video Recording