Camera SoC for edge AI sensing: Page 2 of 2

November 03, 2020 //By Rich Pell
Camera SoC targets new class of smart edge devices
AI vision processor developer Ambarella has introduced a camera system on chip (SoC) for artificial intelligence (AI) sensing at the edge.
camera applications that require long battery life and small form factors.

The CV28M chip shares a common SDK and computer vision (CV) tools with the company's CV25, CV22, and CV2 CVflow SoC families, simplifying development of cameras with multiple price and performance options. A complete set of CV tools helps users port their own neural networks onto CV28M and includes a compiler, debugger, and support for industry-standard machine learning frameworks such as Caffe and TensorFlow, with extensive guidelines for convolutional neural network (CNN) performance optimizations.

CV28M SoC key features include:

  • CVflow architecture with CNN/deep learning support
  • 4KP30 AVC and HEVC encoding with multi-stream support
  • Dual-core 1 GHz Arm Cortex-A53 with NEON DSP extensions and FPU
  • Advanced security features to implement on-device physical security, including secure boot with TrustZone, TRNG, OTP, DRAM scrambling and virtualization
  • Lens distortion correction (LDC)
  • Multi-channel ISP with up to 320 MPixels/s input pixel rate
  • Multi-exposure HDR and wide dynamic range (WDR) processing, with LED flicker mitigation
  • SmartAVC and SmartHEVC intelligent rate control for lowest bitrates in security applications
  • Triple-sensor video input with high-speed SLVS/MIPI-CSI/LVCMOS interfaces
  • Set of interfaces includes Gigabit Ethernet, USB 2.0 host and device, three SD card controllers with SDXC support, and MIPI-DSI/CSI output
  • Support for DDR4/LPDDR4/LPDDR4x
  • 10 nm process technology

The CV28M is available in a 11 x 12-mm 0.65-pitch BGA. Samples are available now.


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