Hikvision Introduces 8 MP Bullet Camera to Expanding TandemVu Line

Variety of embedded features in Hikvision 8MP DeepinView TandemVu offer increased situational awareness and proactive security measures.

Hikvision Introduces 8 MP Bullet Camera to Expanding TandemVu Line

CITY OF INDUSTRY, Calif. – Security camera giant Hikvision recently introduced the 8 MP DeepinView TandemVu Bullet Camera (iDS-2CD8A86G0-XZHSY), the latest addition to its TandemVu family.

Designed to monitor both large scenes and close-up details simultaneously, the new 8 MP DeepinView TandemVu Bullet Camera “sets a benchmark for situational awareness and proactive security,” according to the company press release.

“Our new 8 MP DeepinView TandemVu Bullet Camera is fueled by advanced AI functions like perimeter protection, multi-target detection, and license plate recognition, providing dealers and end users with a comprehensive approach to security, ” said John Xiao, Vice President of Marketing, Hikvision USA, in the press release.

“This showcases Hikvision’s commitment to innovation and our mission to provide cutting-edge technologies that meet the evolving needs of our customers,” he said.

DeepinView TandemVu

More About the 8MP DeepinView TandemVu Bullet Camera

Equipped with deep-learning algorithms and high-performance GPUs, the 8 MP DeepinView TandemVu Bullet Camera supports dual-channel synchronous computing, providing optimized viewpoints for comprehensive monitoring and enhanced security levels. Users can expect “exceptional performance and unparalleled precision in their security operations,” according to the Hikvision press release.

Key features of the 8 MP DeepinView TandemVu Bullet Camera include:

  • Face Authentication and Picture Comparison: Leveraging embedded deep learning-based algorithms, the camera captures, grades, and selects the best image for viewing.
  • Perimeter Protection: The camera incorporates deep learning-based target detection and classification algorithms for robust perimeter protection. It monitors line crossing, intrusion, region entrance, and exit while minimizing false alarms caused by environmental interferences such as leaves, lights, animals, or flags.
  • Multi-Target-Type Recognition: Using its embedded deep learning algorithms, it excels at detecting and capturing faces, people, and vehicles within specific regions.
  • Road Traffic and Vehicle Detection: Utilizing state-of-the-art deep learning-based algorithms, the camera achieves highly accurate license plate capture and recognition, surpassing traditional algorithms by delivering exceptional recognition accuracy for common plates and complex-structured plates. Users can also create block lists and allow lists for plate categorization, triggering separate alarms as needed.

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