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HiSilicon released its latest 2M Mainstream and 4M Professional Smart IP Camera SoC Hi3516CV500 and Hi3516DV300

Since Hi3559A and Hi3519A have achieved lots of success for our clients in intelligent IP camera market, HiSilicon continuously exceed client’s requirements in video surveillance applications by releasing Hi3516CV500 and Hi3516DV300 in September. Along with the improvement of the industry and algorithms, Hi3516CV500 and Hi3516DV300 are particularly targeting on 2M and 4M IP Camera market through the advantages introduced as below.


  • Neural Network Acceleration Engine

Both Hi3516CV500 and Hi3516DV300 are equipped with 0.5T and 1T CNN neural network acceleration engine. It is the key to improve the capability of supporting AI applications in video surveillance market, such as smart motion detection, face recognition and more.


  • KCF and Facial Normalization Module

Hi3516DV300 supports KCF and facial normalization module, which can maximally improves the precision of objects tracking and the usability of face applications.


  • Advanced WDR Technology and 8K-NR Technology

Compared with HiSilicon’s previous-generation products, Hi3516CV500 and Hi3516DV300 are adopted with Advanced-WDR technology and 8D-NR technology which canefficiently improve the video quality.


  • Secure Boot and Hardware Isolation System

The system of Hi3516CV500 and Hi3516DV300 are equipped with a secure boot and hardware isolation system protecting customers' products and sensitive data in the camera.


  • Decoder Module and Local Display Interface

Hi3516DV300 supports decoder module and local display interface, so it is also very suitable in the attendance and access control products.

Hi3516CV500 and Hi3516DV500 are the new-generation SoC designed for the industry-dedicated smart HD IP camera. It introduces a new generation ISP, the latest H.265 video compression encoder, and a high-performance NNIE engine. It can exceed clients’ requirements in terms of the advantages of low bit rate, high image quality, intelligent processing and analysis, and low power consumption.

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