CV22AQ CVflow™ Open Platform Computer Vision Architecture delivers high performance at low power consumption
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“To date, front ADAS cameras have been performance-constrained due to
power consumption limits inherent in the form factor,” said Fermi Wang,
The CV22AQ’s CVflow architecture provides computer vision processing in 8-Megapixel resolution at 30 frames per second, to enable object recognition over long distances and with high accuracy. CV22AQ supports multiple image sensor inputs for multi-FOV (Field of View) cameras and can also create multiple digital FOVs using a single high-resolution image sensor to reduce system cost. It enables DNNs for object detection, classification (i.e. of pedestrians, vehicles, traffic signs, and traffic lights), tracking, as well as high-resolution semantic segmentation for applications such as free space detection.
The CV22AQ’s high-performance Image Signal Processor (ISP) provides
outstanding imaging in low-light conditions while
A complete set of tools is provided to help customers easily port their own neural networks onto the CV22AQ SoC. The toolkit includes a compiler, debugger, and support for industry-standard machine learning frameworks such as Caffe™ and TensorFlow™, with extensive guidelines for DNN performance optimizations.
CV22AQ is currently sampling to leading tier-1 customers and tier-2 algorithm providers. Chip samples with ASIL-B support are targeted to be available in 2019.
CV22AQ SoC Key Features:
- CVflow architecture with DNN support
- AEC-Q100 grade 2 (-40C to +105C operating temperature)
- High-speed SLVS/MIPI/LVCMOS interfaces
- Support for RGGB, RCCB, RCCC, and RGB-IR sensor formats
- Quad-core 756 MHz ARM™ Cortex A53 with NEON DSP extensions and FPU
- Multi-channel ISP with up to 576 Megapixel/s input pixel rate
- Multi-exposure HDR processing and LED flicker mitigation
- Real-time hardware-accelerated fish-eye dewarping and Lens Distortion Correction (LDC)
- 4K/8-Megapixel AVC and HEVC encoding for video logging and wireless video streaming
- Rich set of interfaces includes Gigabit Ethernet, USB 2.0 host and device, dual SD card controllers with SDXC support, HDMI v2.0, MIPI DSI/CSI-2 4-lane output
- Advanced security features, including OTP for secure boot, TrustZone, and IO virtualization
- 10nm process technology
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CV22AQ will be demonstrated in a variety of applications during CES
2019. To book an appointment for a demonstration, please contact
Ambarella’s products are used in a wide variety of human and computer vision applications, including surveillance, Advanced Driver Assistance Systems (ADAS), electronic mirror, drive recorder, driver/cabin monitoring, autonomous driving, and robotic applications. Ambarella’s low-power and high-resolution video compression, image processing, and deep neural network processors and software enable cameras to become more intelligent by extracting valuable data from high-resolution video streams. For more information, please visit www.ambarella.com.
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