MtekVision spun off its Canadian IC design unit as CogniVue Corp., a company focused on programmable image-cognition processors for embedded vision systems. The move was reported in October 2009; CogniVue says it launched as a separate Canadian corporation on January 1, 2010.
What did MtekVision spin out?
South Korean fabless chip maker MtekVision separated its Canadian integrated-circuit design unit to form CogniVue Corp. A report dated October 13, 2009, described the spinout; CogniVue later identified January 1, 2010, as the date it launched as a separate corporation. Contemporaneous report · CogniVue announcement
What did CogniVue make?
CogniVue specialized in programmable image-cognition processors (ICPs): chips intended to analyze images and video in real time within embedded devices. The aim was to interpret visual information, rather than simply handle conventional multimedia tasks.
Processors and supporting technology
The Canadian unit had developed three generations of Maple multimedia processors: Maple-2, Maple-3, and Maple-3X. Its technology also included an Apex DSP Sub-System for image and video processing. Separately, MtekVision was promoting the MV8762, a 350-MHz Arm9 application processor; the report does not establish that this processor was itself a CogniVue product. Contemporaneous report
#1 Best Overall
- Equipped with Xtensa 32-bit LX7 dual-core processor, up to 240MHz main frequency
- Built-in 512KB Static RAM and 384KB ROM, with onboard 8MB PSRAM and 16MB Flash
- Integrated 2.4GHz Wi-Fi and Bluetooth LE dual-mode wireless communication with outstanding RF performance
- Dual-microphone array with noise reduction and echo cancellation for high-quality speech interaction
- SPI / QSPI LCD display interface. 24PIN DVP camera interface. Adapting USB, I2C, and UART interfaces
The report reproduces a company statement that Apex’s advantage over traditional DSPs was “power and speed.” That is a company claim, not an independently verified benchmark. The cited accounts do not provide a benchmark comparison, power measurement, manufacturing process node, or independent performance test.
Where were image-cognition processors intended to be used?
CogniVue targeted embedded systems that needed to analyze camera footage or other visual input, including automotive smart cameras, IP video surveillance, and mobile devices. In a 2011 announcement, the company said its processors and embedded software toolkits were being used in advanced driver-assistance systems (ADAS) and consumer-device gesture recognition. Contemporaneous report · CogniVue announcement
Rank #2
- 【Wide Range of Applications】: It can be applied to face recognition, license plate recognition, drone aerial photography, high-definition cameras, QR code gates, robot vision and many other industry products
- 【Strong Compatibility】: Supports WinXP/Win7/Win8/Win10/Linux/MAC/Android and more. Support OTG UVC USB interface, drive-free, plug and use
- 【Stable Performance】 The USB Camera Module is equipped with a high‑definition photosensitive chip ov9732 for stable performance and clearer images
- 【Adjustable Focal Length】100-degree field of view, larger viewing range, more open field of view, can be adjusted by rotating the lens shooting focus
- 【Package Included】: 3 X 100 Degrees OV9732 Camera Module, 3 X 2m USB Cable
Was the spinout commercially successful?
CogniVue reported a meaningful commercial milestone on July 26, 2011: more than 10 design-ins and over $50 million in sales revenue over three years. These were figures reported by CogniVue, not independently audited results in the cited announcement. A design-in indicates that a supplier’s technology has been selected for a product design; it does not by itself show how many units shipped or how much revenue was recurring. CogniVue announcement
What does MtekVision do now?
MtekVision’s current corporate materials describe work in automotive cameras and driver monitoring, image-recognition semiconductors for AI or machine vision, image signal processors, multimedia application processors, customized ODM research and development, car-driving recorders, and digital tachographs. Its English corporate page says the company has supplied more than 400 million ICs used in mobile and automotive cameras; that is a company-reported total. MtekVision corporate material · MtekVision English page
Rank #3
- Equipped with Xtensa 32-bit LX7 dual-core processor, up to 240MHz main frequency
- Built-in 512KB Static RAM and 384KB ROM, with onboard 8MB PSRAM and 16MB Flash
- Integrated 2.4GHz Wi-Fi and Bluetooth LE dual-mode wireless communication with outstanding RF performance
- Dual-microphone array with noise reduction and echo cancellation for high-quality speech interaction
- SPI / QSPI LCD display interface. 24PIN DVP camera interface. Adapting USB, I2C, and UART interfaces
Can you buy CogniVue processors on Amazon?
The available sources describe chips, intellectual property, software toolkits, and OEM design-ins; they do not identify an Amazon retail listing for CogniVue processors, Maple chips, the MtekVision MV8762, or related development kits. These are enterprise semiconductor products, not ordinary consumer purchases. No directly relevant Amazon product is established by the available information.
Quick Recap
Best Value
- Based on 1MP monochrome (black&white) global shutter sensor OV9281, assembled with a 70°(H) low distortion M12 lens without IR pass filter, sensitive to IR.
- Global Shutter: Shoot high-speed moving objects in crisp sharp images. Avoid the rolling artifacts to get a much more accurate complete picture than the rolling shutter cameras. Reserved external trigger ports, support trigger via external signal.
- Resolution: 1MP 1280H x 800V; Frame Rates: MJPG 100fps@1280 x 800/800 x 600/640 x 480/320 x 240; YUY2 10fps@1280 x 800/1280 x 720. Note: Please change the default frame rate of the software to meet your higher frame rate requirement.
- Plug&Play: UVC-compliant, just connect the camera to PC computer, laptop, Android device or Raspberry Pi with the USB cable without extra drivers to be installed.
- Applications: The sensor's excellent low-light sensitivity and the low distortion lens allow it to perform better in any application that needs gesture and eye tracking, iris and physiognomy recognition, depth and motion detection.
Rank #4
- OV2640 camera module is made of 1/4 inch OV2640 million high-definition CMOS sensor, with high sensitivity, high flexibility, support JPEG output and other characteristics
- The OV2640 image sensor has 2 million pixels (1632x1232 pixels), its small size, low operating voltage, and provides all the functions of a single UXGA camera and image processor
- It supports many parameter settings such as exposure, white balance, chroma, saturation and contrast, and supports JPEG/RGB565 format output, which can meet the needs of different occasions
- Through the control of SCCB bus, 10-bit sampling data of various resolutions can be output in the form of whole frame, sub-sampling, windowing, etc. Users can fully control image quality, data format and transmission mode
- OV2640 image sensor uses unique sensor technology to improve image quality and obtain clear and stable color images by reducing or eliminating optical or electronic defects such as fixed pattern noise, tail support, floating, etc
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