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Main Title - 201902S4 Facial Recognition Camera

The face of advanced camera technology

Mixed Media - 201902S4

Facial recognition cameras are gaining widespread adoption as they can instantly improve security and customer experience. Faces that are captured in videos can be matched against a database of faces and used differently in different applications in real time.

Avnet has introduced an advanced facial recognition camera based on massive neural networks, enabling a powerful algorithm that runs on a large-scale face database. The use of Deephi's exclusive Deep Compression technology makes it possible to run this powerful neural network on Xilinx's cost-effective FPGAs. Face detection, tracing and quality filtering as well as face feature extraction and comparison can even be supported. What’s more, external linkage devices can be directly controlled through I/O while a built-in supercap protects the data integrity of the TF Card. And with its asymmetric SOC architecture, IPCamera SOC and FPGA, this camera doesn’t just pack a punch, but performs professionally as well.

Long Copy - 201902S4

Features

  • Asymmetric SOC architecture: IP Camera SOC + FPGA, powerful and professional.
  • Large-scale neural networks training on large scale face database.
  • Face detection performance of up to 30fps.Minimum detectable face: 30x30 pixels.
  • Face feature extraction performance of up to 20 faces/second.
  • Up to 1:30000/1:100000 face pictures match
  • Built-in supercap helps to protect data integrity on TF card
  • Smart AE based on face detection


Target applications

  • Smart community
  • New retail
  • Attendance
  • Smart shop
  • Access control
  • Transportation
  • Entrance
  • Campus
  • Buildings

 

Facial Recognition Camera

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