Deep learning has become a hot topic, enabling machines and systems equipped with powerful analytics to recognize things without much human supervision. More and more, this technology is being employed in the security industry, which can benefit from deep learning in numerous ways.
Deep learning has become a hot topic, enabling machines and systems equipped with powerful analytics to recognize things without much human supervision. More and more, this technology is being employed in the security industry, which can benefit from deep learning in numerous ways.
That’s the point raised by
Hikvision, which has launched its Deep Inview IP camera and DeepInmind NVR series to leverage the power of deep learning.
According to Hikvision, the benefits of deep learning for face recognition and image classification make it hugely valuable in the field of security as 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 said.
Now, the company 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,” Hikvision said. “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 ‘features.’”
According to Hikvision, this multi-layered approach uses a lot of memory and performance, yet technology advances have made the technology 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,” it said. “Our 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 of deep learning in security are numerous, Hikvision said, citing various examples from enabling the system to provide a black list/white list alarm to recognition of 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,” Hikvision said. “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.”