Machine Vision Module

Custom built or hacked Electronic boards and sensors
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Machine Vision Module

Post by nicolas gomez » Tue Apr 15, 2014 5:37 pm

Post by nicolas gomez
Tue Apr 15, 2014 5:37 pm

Hi all!! here find other options to vision mdule

Pixy (CMUcam5)

Image

http://charmedlabs.com/default/?page_id=211

preorder price $69

Technical specs

Processor: NXP LPC4330, 204 MHz, dual core
Image sensor: Omnivision OV9715, 1/4", 1280x800
Lens field-of-view: 75 degrees horizontal, 47 degrees vertical
Lens type: standard M12 (several different types available)
Power consumption: 140 mA typical
Power input: USB input (5V) or unregulated input (6V to 10V)
RAM: 264K bytes
Flash: 1M bytes
Available data outputs: UART serial, SPI, I2C, USB, digital, analog
Dimensions: 2.1" x 1.75" x 1.4"

https://www.youtube.com/watch?v=J8sl3nMlYxM

https://www.kickstarter.com/projects/254449872/pixy-cmucam5-a-fast-easy-to-use-vision-sensor/


And there a open source module

OpenMV (Open Machine Vision Module)

OpenMV is an open-source tiny machine vision module based on an STM32F4xx ARM Cortex-M4 MCU and an OV9650 sensor, it's currently capable of doing face detection at 25FPS, color tracking at 30FPS+ and has USART interfae and USB-OTG support for debugging and firmware update. This repo contains the hardware resources, drivers, image processing and userspace code.

Image


https://github.com/iabdalkader/openmv

Face Detection With OpenMV (25FPS)
http://www.youtube.com/watch?v=SdQF5JI4kzU

Color Tracking With OpenMV (30FPS)
http://www.youtube.com/watch?v=T-oMfnEsa1o

And for arduino users

ArduCAM Shiled

Image

Incorporating standard SPI slave interface
Reduced IOs consumption, only 4 IOs for SPI, 2 IOs for I2C and 1 IO for SD are required
All IOs are 5V and 3.3V tolerant
Support all Arduino families including Arduino DUE
Can be easily ported to any platforms which have SPI port like Raspberry Pi, BeagleBoard, BeagleBone, pcDuino and etc
Support 1080p still JPEG image capture
Provide low power mode, reduce power consumption and prolong battery life
Well mate with Arudino UNO R3, MEGA2560 R3, Leonardo R3 and DUE boards

Can be easily ported to any platforms which have SPI port like Raspberry Pi, BeagleBoard, BeagleBone, pcDuino.

ArduCAM Shield Demo

http://www.uctronics.com/arduino-camera-shield-arducam-for-uno-mega2560-board-p-1445.html

https://www.youtube.com/watch?v=gb5szs5-yMg#aid=P-jYuFhVB0w


http://www.uctronics.com/arduino-camera-shield-arducam-for-uno-mega2560-board-p-1445.html
$29.99
Hi all!! here find other options to vision mdule

Pixy (CMUcam5)

Image

http://charmedlabs.com/default/?page_id=211

preorder price $69

Technical specs

Processor: NXP LPC4330, 204 MHz, dual core
Image sensor: Omnivision OV9715, 1/4", 1280x800
Lens field-of-view: 75 degrees horizontal, 47 degrees vertical
Lens type: standard M12 (several different types available)
Power consumption: 140 mA typical
Power input: USB input (5V) or unregulated input (6V to 10V)
RAM: 264K bytes
Flash: 1M bytes
Available data outputs: UART serial, SPI, I2C, USB, digital, analog
Dimensions: 2.1" x 1.75" x 1.4"

https://www.youtube.com/watch?v=J8sl3nMlYxM

https://www.kickstarter.com/projects/254449872/pixy-cmucam5-a-fast-easy-to-use-vision-sensor/


And there a open source module

OpenMV (Open Machine Vision Module)

OpenMV is an open-source tiny machine vision module based on an STM32F4xx ARM Cortex-M4 MCU and an OV9650 sensor, it's currently capable of doing face detection at 25FPS, color tracking at 30FPS+ and has USART interfae and USB-OTG support for debugging and firmware update. This repo contains the hardware resources, drivers, image processing and userspace code.

Image


https://github.com/iabdalkader/openmv

Face Detection With OpenMV (25FPS)
http://www.youtube.com/watch?v=SdQF5JI4kzU

Color Tracking With OpenMV (30FPS)
http://www.youtube.com/watch?v=T-oMfnEsa1o

And for arduino users

ArduCAM Shiled

Image

Incorporating standard SPI slave interface
Reduced IOs consumption, only 4 IOs for SPI, 2 IOs for I2C and 1 IO for SD are required
All IOs are 5V and 3.3V tolerant
Support all Arduino families including Arduino DUE
Can be easily ported to any platforms which have SPI port like Raspberry Pi, BeagleBoard, BeagleBone, pcDuino and etc
Support 1080p still JPEG image capture
Provide low power mode, reduce power consumption and prolong battery life
Well mate with Arudino UNO R3, MEGA2560 R3, Leonardo R3 and DUE boards

Can be easily ported to any platforms which have SPI port like Raspberry Pi, BeagleBoard, BeagleBone, pcDuino.

ArduCAM Shield Demo

http://www.uctronics.com/arduino-camera-shield-arducam-for-uno-mega2560-board-p-1445.html

https://www.youtube.com/watch?v=gb5szs5-yMg#aid=P-jYuFhVB0w


http://www.uctronics.com/arduino-camera-shield-arducam-for-uno-mega2560-board-p-1445.html
$29.99
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Re: Machine Vision Module

Post by limor » Tue Jun 03, 2014 7:53 am

Post by limor
Tue Jun 03, 2014 7:53 am

There is also the option of getting a miniature embedded android/linux, linking a webcam and running opencv.
Alternatively there's RoboRealm which offloads the processing to a remote Windows PC. The embedded linux only needs to send image frames over wifi.
It all depends on the image processing requirements
There is also the option of getting a miniature embedded android/linux, linking a webcam and running opencv.
Alternatively there's RoboRealm which offloads the processing to a remote Windows PC. The embedded linux only needs to send image frames over wifi.
It all depends on the image processing requirements
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