Ambarella Introduces CV25 SoC with CVflow™ Computer Vision to Enable the Next Generation of Mainstream Intelligent Cameras
January 07, 2019 at 02:30 am
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Ambarella, Inc. introduced the CV25 camera System-on-Chip (SoC), the latest in the CVflow family, combining advanced image processing, high-resolution video encoding and CVflow computer vision processing in a single, extremely low power design. The CV25’s CVflow architecture provides the Deep Neural Network (DNN) processing required for the next generation of affordable and intelligent home monitoring, professional surveillance, and aftermarket automotive solutions, including smart dash-cameras, Driver Monitoring Systems (DMS), and electronic mirrors. AI applications enabled at the edge include person recognition and the ability to distinguish between pets, persons, and vehicles. In smart video doorbells, CV25 can automatically recognize familiar faces approaching the front door, flag unknown persons, and alert the homeowner when a package is delivered. In driver monitoring systems, it can detect a driver’s drowsiness or level of distraction by monitoring their eyes and facial expressions. CV25 delivers efficient video encoding in both AVC and HEVC formats with very low bitrates to minimize cloud storage costs. A high-performance Image Signal Processor (ISP) delivers outstanding imaging in low light conditions, and High Dynamic Range (HDR) processing extracts maximum image detail in high-contrast scenes. It includes a full suite of advanced cyber-security features to protect against hacking including secure boot, TrustZone™, and I/O virtualization. Based on 10nm ultra-low power process technology, the CV25 chip is optimized for wire-free camera applications that require long battery life and small form factors. As part of the CVflow family, the CV25 chip shares a common SDK, Computer Vision (CV) tools, ISP, and cyber-security features with the existing CV22 and CV2 SoCs, allowing multiple price-performance options. Ambarella’s complete set of CV tools helps customers easily port their own neural networks onto CV25. The set includes a compiler, debugger, and support for industry-standard machine learning frameworks such as Caffe™ and TensorFlow™, with extensive guidelines for Convolutional Neural Networks (CNN) performance optimizations. CV25 SoC Key Features: CVflow architecture with CNN/deep learning support; 4Kp30 AVC and HEVC encoding with multi-stream support; Quad-core 1 GHz Arm®Cortex®-A53 processor with NEON DSP extensions and FPU; Advanced security features including OTP for secure boot, Trust Zone, and IO virtualization; Real-time hardware-accelerated 360-degree dewarping and Lens Distortion Correction (LDC); Multi-channel ISP with up to 480 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-2/LVCMOS interfaces; Rich set of interfaces includes Gigabit Ethernet, USB 2.0 host and device, dual SD card controllers with SDXC support, HDMI v2.0, and MIPI DSI/CSI-2 output; Support for DDR4/LPDDR4/LPDDR4x; 10nm process technology; and 13x13mm 0.65-pitch BGA.
Ambarella, Inc. is a developer of low-power system-on-a-chip (SoC) semiconductors that provide artificial intelligence processing, image signal processing and video compression. The Company serves human-viewing applications with video and image processors for enterprise, public infrastructure and home applications, such as Internet protocol, security cameras, sports cameras, wearables, aerial drones, and aftermarket automotive video recorders. It is focused on creating AI technology that enables edge devices to visually perceive the environment and make decisions based on the data collected from cameras and, other types of sensors. Its CVflow-architecture supports a range of computer vision algorithms, including object detection, classification and tracking, semantic and instance segmentation, image processing, stereo object detection, terrain mapping, and face recognition. Its CVflow processes other sensor modalities, including lidar, radar, time of flight, thermal and near-infrared.