Friday, October 30, 2020
Home Lifestyle Security just got ‘smarter’

Security just got ‘smarter’

Dual-Lens Face Recognition Camera

In the digital age, artificial intelligence (AI) is technology that has begun to revolutionize how we live, work and play. AI is offering businesses the prospect of increased productivity and innovation, while at the same time also enabling society to help solve some of its most persistent challenges—like disease, natural disasters, and security.

Hangzhou Hikvision Digital Technology Co., Ltd. (Hikvision), which provides innovative security products and solutions, recently embarked on an AI Tour across 40 countries spanning Asia, Africa, Middle East, Oceania, and Latin America. In the tour’s stop in the Philippines, Hikvision showcased AI innovations covering AI Cloud architecture, AI technologies, AI products, and other vertical solutions.

“As AI becomes more common and more powerful, deep learning will soon become the foundational technology for the security industry. AI will strengthen critical security efforts in every sphere, with new machine learning techniques giving CCTV cameras the ability to spot troubling behavior without human supervision,” said Ray Wu, General Manager of Hikvision. 

Based in Hangzhou, China, Hikvision is a pioneer in intelligent video surveillance and has created diversified products and solutions that utilize AI to address today’s modern challenges. In Hikvision’s AI tour, the company introduced four camera models equipped with deep learning algorithms:

EXIR Flexible PanoVu Network Camera —This camera features 1/2.7” progressive scan CMOS sensors and four lenses. Each lens supports 1080p at 30fps. Compression of up to H.265+ saves bandwidth and storage space. The EXIR is capable of 6 behavior analyses, 4 exception detection, and facial detection.

PanoVu PT Series 2MP + 2MP Target Capture Camera—This camera is able to capture distant images as well as close-up images with the integration design of distant view camera and tracking PTZ camera. This series can be widely used in situations where wide monitoring range and high definition are required, such as the entrance/exit of an airport, park, and station.

2MP 25× IR Network Speed Dome—The speed dome is a DarkFighterX series camera that adopts the patented dual-sensor design to process color and brightness independently, and outputs one full-color image. It is equipped with deep-learning-based target classification algorithms for auto-tracking and perimeter protection.

PanoVu PT Series 2mp target capture camera

LPR Camera—LPR Camera is powered by Hikvision Deep-Learning AI algorithm, which can identify more than 6 types of Philippines license plate number with the highest accuracy of 90%, including the private vehicles, public utility vehicles, etc. With the dedication to optimize the Philippines LPR algorithm, Hikvision is expected to reach 95% in 2019.

Deep learning is the next level of AI development. It is beyond machine learning where supervised classification of features and patterns are set into algorithms. Rather, deep learning incorporates unsupervised or “self-learning” principles. “Hikvision is building deep learning into its own analytics algorithms. The result of multi-layer learning and extensive data collection is enhanced accuracy and improved analytics. And this applies to vehicle recognition, and human recognition,“ said Wu.

Hikvision has introduced a series of products that can accurately detect, recognize, and analyze human, vehicle, and object features and behavior, and can be widely used in indoor and outdoor scenarios. “With AI, CCTV cameras now have the digital brains to match their eyes, letting them analyze live video with no humans necessary. AI is a game-changer, and we’re seeing firsthand how that technology can be used to guard against theft and improve security,” said Evelyn Ativo, Product Group Head of Iontech Inc., one of the key players in the Information Technology distribution industry in the country.

LEAVE A REPLY

Please enter your comment!
Please enter your name here