Hailo-15™ AI Vision Processors

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Hailo-15™ is a series of AI Vision Processors for smart cameras.
The Hailo-15™ System-on-a-Chip (SoC) can process multiple complex deep learning AI applications at full scale and at superior efficiency.
Hailo-15™ combines Hailo’s patented and field proven AI inferencing capabilities with advanced computer vision engines, generating data-reach video analytics at a premium image quality, supported by AI-powered image enhancement

Discover the Benefits

The Hailo-15 System-on-a-Chip (SoC) a series of AI Vision Processors for smart cameras

Unparalleled AI Analytics

  • Up to 20 TOPS (Tera Operations Per Second) running on a powerful Neural Network (NN) Core enabling processing of multiple advanced DL models in parallel
  • High FPS DL model processing for faster and highly accurate detection of more objects per frame
  • Best AI performance at a standard camera power consumption and cost envelope

Superior image quality

  • AI-powered vision processing with low–light, image stabilization and image perfection capabilities, for enhanced image quality
  • Premium 4K60 image quality with a cutting-edge ISP pipeline and an advanced Vision sub-system with High Dynamic Range (HDR) and Noise Reduction (NR) algorithms
  • Industry leading DSP vision processing and high-quality video encoding

Flexible and Secure System

  • Industry-standard infrastructures and frameworks with a complete Yocto-based Linux distribution runtime on the Application Processor
  • Industrial grade SoC with a variety of interfaces for image sensors, data, and memory
  • Secure boot and debug with hardware accelerated crypto library, TrustZone, TRNG, and Firewall

Hailo-15™ product offering

Hailo-15™ series of AI Vision Processors is a solution for a diverse range of cameras, meeting various needs by offering 3 products:


Hailo 15H20 TOPS

Hailo 15M11 TOPS

Hailo 15L7 TOPS

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Title File type Date modified
Hailo-15™ Product Brief PDF 08/03/2023

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EU Research and Innovation Program

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This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 849921

This project has received funding from the European Union’s Horizon 2020.