Embedded Vision Processing At CES: CEVA's MM3101 Is the Company's Latest And Greatest
January 05, 2012
The 2012 Consumer Electronic Show officially begins next Monday night with Steve Ballmer's (Microsoft CEO) keynote, but a number of companies are already announcing their latest-generation technologies and products ahead of the crush of press releases to come. Among them is Embedded Vision Alliance member CEVA, who yesterday morning unveiled the newest member of its MM3000 architecture, the CEVA-MM3101. CEVA's particular focus with this product iteration is two-fold; image enhancements, and embedded vision algorithm processing, the latter manifested in function implementations such as face tracking and gesture interfaces.
From the press release:
CEVA-MM3101 is a fully programmable, low power platform developed to meet the advanced image and vision processing use-cases in camera-enabled devices, including smartphones, tablets and smart TVs. The CEVA-MM3101 platform integrates video and imaging functions that today are distributed among multiple processor engines, to address the image and video pipeline, image enhancement, embedded vision applications and image encoding functions. Instead of using fixed-function engines or running these functions on the main application processor, the CEVA-MM3101 is specifically architected to support all of these functions on a single processor, resulting in a 20X reduction in power consumption when compared to CPU-based solutions.
In addition, the powerful CEVA-MM3101 enables a new level of high-performance image enhancements and embedded vision applications that are not feasible on RISC CPU based designs. For example, the CEVA-MM3101 is capable of processing video streams of 1080p, or 8 megapixel images at 12 frames per second, simultaneously with advanced performance-driven features such as video stabilization, color correction, wide dynamic range (WDR), face detection and gesture recognition.
And CEVA also obtained a quote from Embedded Vision Alliance Founder Jeff Bier:
I congratulate CEVA for developing a powerful platform, integrating imaging and vision-related technologies. Next-generation mobile and consumer devices are rapidly adopting embedded vision capabilities including gesture-based user interfaces and object recognition for applications such as augmented reality games, security, and navigation. Implementing this type of visual intelligence in consumer products requires a combination of high processing performance, programmability, energy efficiency, and low cost. Fielding a licensable processing subsystem specifically targeting embedded vision applications is an excellent step forward for CEVA and the industry.
For more on the EVA-MM3101, please visit the vendor's website. I also plan more in-depth coverage on the product and its associated development tools suite in BDTI's InsideDSP newsletter, to be published later this month.
- ??
- ADAS
- aerospace
- Analog Devices DSP
- analytics
- Android
- Apple
- Apple iPad
- Apple iPhone 4S
- Apple iPhone iPod touch
- Aptina
- Augmented Reality
- Automotive
- Automotive vision
- Autonomous drone
- Autonomous Vehicle
- Autostereoscopic displays
- Azumio
- Barcode
- Baseball
- Biometrics
- Blackfin Embedded Vision Starter Kit Hands-on Workshop
- blur
- Boston Image Processing and Computer Vision Group
- Camera design
- cameraphone
- Carnegie Mellon
- CCD
- CES
- CEVA
- CMOS
- CogniMem
- Comic
- Computational Photography
- computer vision
- Contamination detection
- De-warping
- Design News
- DESIGN West
- Disney
- Driver assistance
- driver information
- embedded vision
- embedded vision alliance
- Embedded Vision Summit
- Embedded vision training
- Embedded Vision Tutorial
- emotion
- emotion detection
- eva
- Evaluation modules
- Eye tracking
- eyeSight
- Face detection
- face recognition
- Facial detection
- Facial recognition
- FiRe
- flying
- Focus
- Foxconn
- games
- gesture
- gesture interface
- Gesture interfaces
- gesture recognition
- GestureTek
- HDR
- health
- High-speed camera
- High-speed capture
- High-speed video camera
- IBM
- IEEE
- IEEE Embedded Vision Workshop
- Image analysis
- Image compression
- Image recognition
- Image sensor
- image sensors
- Image Sensors 2013
- IMS Research
- Industrial vision
- Intel Gesture Interface Facial Recognition
- investment
- iOS
- iPad
- Jitendra Malik
- Kinect
- Kinect Optical Scanner Robotics
- Kodak
- Light intensity detection
- Linley Group
- Lytro
- Mac OS X
- medical
- Medical imaging
- microsoft
- Microsoft Kinect
- military
- mobile
- Motion
- Motion Capture
- Move
- National Instruments
- Neural networks
- New members
- Newsletter
- Nokia
- Nvidia
- NVIDIA Android
- nViso
- object tracking
- object video
- open source
- OpenCV SimpleCV Python C C++
- OpenNI
- optical character recognition
- Optical flow
- Organic Motion
- panel
- Panorama mode
- Parking analytics
- patent
- pc
- PlayStation
- PlayStation Move
- PointGrab
- presentation
- Processors
- pulse
- pulse rate measurement
- Qualcomm
- Raspberry Pi
- Remote control
- Robotics
- robots
- rolling shutter
- Samsung smartphone
- Satellites
- SDK
- search
- security
- slow motion
- Smart TV
- Smartphone
- Soccer
- Sony
- Sports
- Still image analytics
- Surface visualization
- surgery
- Surveillance
- Synopsys
- Tegra 3
- tennis
- Tensilica
- Texas Instruments
- Thermal imaging
- TI
- traffic control
- traffic lights
- user interface
- VanGogh Imaging
- videantis
- video analytics
- Video editing
- Video surveillance
- Videoconferencing
- VideoSurf
- Virtual shopping
- Vision
- Vision Research Phantom
- Volvo
- Webcast
- Website
- x86
- Xbox 360
- xkcd








