• LPC4330 Dual Core Pixy CMUcam5 Image Recognition Sensor with Gimbal for Arduino DIY
  • LPC4330 Dual Core Pixy CMUcam5 Image Recognition Sensor with Gimbal for Arduino DIY
  • LPC4330 Dual Core Pixy CMUcam5 Image Recognition Sensor with Gimbal for Arduino DIY
  • LPC4330 Dual Core Pixy CMUcam5 Image Recognition Sensor with Gimbal for Arduino DIY
  • LPC4330 Dual Core Pixy CMUcam5 Image Recognition Sensor with Gimbal for Arduino DIY
  • LPC4330 Dual Core Pixy CMUcam5 Image Recognition Sensor with Gimbal for Arduino DIY

LPC4330 Dual Core Pixy CMUcam5 Image Recognition Sensor with Gimbal for Arduino DIY

Availability: In stock, usually dispatched in 1 business day

  • Price:$101.19
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LPC4330 Dual Core Pixy CMUcam5 Image Recognition Sensor with Gimbal for Arduino DIY

Features:

- Pixy uses a hue-based color filtering algorithm to detect objects. Pixy calculates the hue and saturation of each RGB pixel from the image sensor and uses these as the primary filtering parameters.
- Pixy remembers up to 7 different color signatures. If you need more than seven, you can use color codes (see below).
- Pixy can find literally hundreds of objects at a time.
- Pixy processed an entire 640x400 image frame every 1/50thof a second.
- You can get a complete update of all detected objects’ positions every 20 ms.
- Pixy is unique because you can physically teach it what you are interested in sensing.

Specifications:
- 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”

Package included:
- 1 x CMUcam5 Sensor with gimbal
- 1 x FC-10P connection cable
- 1 x Screw set
 

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