Instant purchase OK ¥28,336 (tax included) There may be some data included. Please reset it before use. This is a camera module that can detect and track objects using a high-speed image sensor. Smaller, faster, and more powerful than the previous version, the Pixy2 CMUcam5 can detect learned objects at the push of a button. As a new algorithm, a function has been added to detect and track lines for line-following robots, and it can also detect intersections and "road signs." It can instruct the robot what to do, such as turning left, turning right, or slowing down, and make them execute those actions at 60 fps. Various interfaces such as SPI, I2C, UART, and USB are available, so it can be easily adapted to other controllers. Pixy2 uses a color-based filtering algorithm for object detection. This method is fast, efficient, and relatively stable, making it a popular choice. It calculates the hue and saturation of each RGB pixel through the image sensor and uses them as primary filtering parameters. Usually, when the lighting or exposure changes, the hue of the object does not change significantly, but it can have a serious impact on the color filtering algorithm. However, the filtering algorithm of Pixy2 is strong against changes in lighting and exposure and is highly stable. Specifications Processor: NXP LPC4330 (204 MHz, dual-core) Image sensor: Aptina MT9M114, 1296 × 976, built-in 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 output: UART serial, SPI, I2C, USB, digital, analog Built-in light source, approximately 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