April 17, 2017 -
Intel’s Movidius announced that its Myriad 2 Vision Processing Unit (VPU) technology will power select Dahua Technology video surveillance cameras with advanced intelligence (AI) functions that train the devices to collect, examine, and retain data.
Powered by Movidius Myriad 2 ultra-low power Vision technology, the Dahua 2MP High Definition (HD) box camera offers a range of features including crowd density monitoring, stereoscopic vision, facial recognition, people counting, behavior analysis, and detection of illegally parked vehicles.
Video cameras equipped with deep learning technology can detect people’s gender, whether they are wearing glasses, their age range, and even their emotion.
“Deep learning is the fastest-growing field in Artificial Intelligence. It can enable computers to interpret large amounts of data in the form of images, sound, and text,” said Zhu Jiangming, executive vice president of Dahua Technology. “With this sophisticated technology from Movidius, we can dramatically improve accuracy when analyzing video content, which will have a significant impact on the future of video surveillance.”
Dahua video surveillance cameras with Movidius Myriad 2 Vision technology deliver improved intelligence beyond monitoring and recording capabilities.
As a result, the technology provides organizations with valuable analytical data to understand their customers, make better marketing decisions, and increase the bottom line.
“The new frontier for AI and machine learning is being able to deploy these technologies in real-world products. This means getting the power demand to a low enough level to be embedded right into the cameras themselves,” said Remi El-Ouazzane, vice president of Intel new technology group and general manager of Movidius. “The Myriad 2 VPU delivers a tremendous amount of compute for deep neural networks while requiring less than a single watt of power – allowing Dahua to create some of the smartest products to date.”
Last year, Google Began sourcing Movidius processors along with the entire Movidius software development environment for its mobile devices.