Pixy2 CMUcam5
Immediate purchase OK
¥28,336 (tax included)
May contain some data. Please reset before use.
This is a camera module that can detect and track objects using a high-speed image sensor. The Pixy2 CMUcam5, which is smaller, faster, and more powerful than previous versions, can detect learned objects with the press of a button.
A new algorithm has been added to detect and track lines for line-tracing robots, and it can even detect intersections and road signs. You can instruct the robot on what to do, such as turn left, turn right, or slow down, and execute them at 60 fps.
Various interfaces such as SPI, I2C, UART, and USB are available, allowing for quick compatibility with other controllers.
Pixy2 uses a color-based filtering algorithm for object detection. This method is popular for its speed, efficiency, and relative stability. It calculates the hue and saturation of each RGB pixel through the image sensor and uses them as primary filtering parameters. While changes in lighting and exposure typically do not significantly alter an object's hue, they can have a serious impact on color filtering algorithms. However, Pixy2's filtering algorithm is robust against changes in lighting and exposure, offering high stability.
Specifications
Processor: NXP LPC4330 (204 MHz, dual-core)
Image Sensor: Aptina MT9M114, 1296 × 976, with integrated image flow processor
Lens Field of View: Horizontal 60 degrees, Vertical 40 degrees
Power Consumption: 140 mA (typ)
Power Input: USB input (5 V) or unregulated input (6–10 V)
RAM: 264 KB
Flash: 2 MB
Available Data Outputs: UART serial, SPI, I2C, USB, digital, analog
Built-in light source, approx. 20 lumens
Dimensions: 38.1 × 41.9 × 15.2 mm
Weight: 10 g
Contents
Pixy2 CMUcam5 × 1
ISP cable for Arduino × 1
Mounting hardware × 1
¥28,336 (tax included)
May contain some data. Please reset before use.
This is a camera module that can detect and track objects using a high-speed image sensor. The Pixy2 CMUcam5, which is smaller, faster, and more powerful than previous versions, can detect learned objects with the press of a button.
A new algorithm has been added to detect and track lines for line-tracing robots, and it can even detect intersections and road signs. You can instruct the robot on what to do, such as turn left, turn right, or slow down, and execute them at 60 fps.
Various interfaces such as SPI, I2C, UART, and USB are available, allowing for quick compatibility with other controllers.
Pixy2 uses a color-based filtering algorithm for object detection. This method is popular for its speed, efficiency, and relative stability. It calculates the hue and saturation of each RGB pixel through the image sensor and uses them as primary filtering parameters. While changes in lighting and exposure typically do not significantly alter an object's hue, they can have a serious impact on color filtering algorithms. However, Pixy2's filtering algorithm is robust against changes in lighting and exposure, offering high stability.
Specifications
Processor: NXP LPC4330 (204 MHz, dual-core)
Image Sensor: Aptina MT9M114, 1296 × 976, with integrated image flow processor
Lens Field of View: Horizontal 60 degrees, Vertical 40 degrees
Power Consumption: 140 mA (typ)
Power Input: USB input (5 V) or unregulated input (6–10 V)
RAM: 264 KB
Flash: 2 MB
Available Data Outputs: UART serial, SPI, I2C, USB, digital, analog
Built-in light source, approx. 20 lumens
Dimensions: 38.1 × 41.9 × 15.2 mm
Weight: 10 g
Contents
Pixy2 CMUcam5 × 1
ISP cable for Arduino × 1
Mounting hardware × 1
Category
Action Camera / Wearable Camera
Condition
No noticeable scratches or marks
Shipping
Included in price (by seller)
From
Kanagawa
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