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Module with image sensor MT9M114 with a resolution of 1.26 MPx with built-in NXP LPC4330 processor. Designed for AI applications, it allows for color recognition, line detection and barcode detection. It can communicate via UART, SPI, I2C, USB interface, it is also equipped with digital and analog output. The applied algorithms allow the module to work with a processing speed of 60 frames/s, so it can also be used in the case of high-speed mobile platforms. Pixy2 has extensive support in the form of libraries for Arduino and Raspberry Pi, and thanks to a wide selection of communication interfaces, it can work with any evaluation board. Full documentation with project examples is available on the product page.
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Arduino Uno Rev3 is a popular board with Atmel ATmega328 microcontroller from the AVR family, there are 14 I / O lines, 6 PWM channels and 6 analog inputs. The additional ATmega16U4 microcontroller realizes communication via the USB interface. Arduino A000066
The latest version of the Raspberry Pi series: Raspberry Pi 4 model B with quad-core SoC (Broadcom BCM2711, Cortex-A72) working at 1.8GHz, 2GB RAM LPDDR4, Broadcom VideoCore VI.
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The long-awaited Raspberry Pi 4 model B with the SoC Broadcom BCM2711 (4 x Cortex-A72) running at 1.8 GHz, 3 GB LPDDR4 RAM and the Broadcom VideoCore VI graphics chip
HuskyLens is an easy-to-use AI vision sensor. It is equipped with many functions such as face recognition, object tracking, object recognition, line tracking, color recognition and tag recognition (QR codes).
The long-awaited Raspberry Pi 4 model B with the SoC Broadcom BCM2711 SoC (4 x Cortex-A72) running at 1.8GHz, 8 GB LPDDR4 RAM and the Broadcom VideoCore VI graphics chip
MCP2515-I/SO is a widely used SPI-based CAN controller that enables adding CAN bus support to microcontrollers without a built-in CAN module. It is suitable for embedded and industrial applications, provided that an appropriate external CAN transceiver is used for connection to the bus.
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The dipPLD module with the EP1C system from the Altera Cyclone family
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Krzysztof Franek
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Image sensor MT9M114 with a resolution of 1.26 MPx with built-in NXP LPC4330 processor. Designed for AI applications, it allows for color recognition, line detection and barcode detection. DFRobot SEN0265