Arducam KingKong – A Raspberry Pi CM4-based Edge AI camera with global shutter sensor, Myriad X AI accelerator

Arducam KingKong

ArduCam KingKong is a Smart Edge AI camera based on the Raspberry Pi CM4 and system-on-module based on Intel Myriad X AI accelerator that follows the Raspberry Pi 5-powered Arducam PiINSIGHT camera introduced at the beginning of the year. The new product launch aims to provide a complete Raspberry Pi-based camera rather than an accessory for the Raspberry Pi 4/5. Smart cameras built around the Raspberry Pi CM4 are not new as we previously covered the EDATEC ED-AIC2020 IP67-rated industrial AI Edge camera and the StereoPi v2 stereoscopic camera used to create 3D video and 3D depth maps. The ArduCam KingKong adds another option suitable for computer vision applications with an AR0234 global shutter module, PoE support, and a CNC metal enclosure. ArduCam KingKong specifications: SoM – Raspberry Pi Compute Module 4 (CM4) by default CM4104000 Wireless 4GB RAM Lite (0GB eMMC). AI accelerator – Luxonis OAK SOM BW1099 based on Intel […]

Arducam PiNSIGHT – A 4 TOPS AI camera board for the Raspberry Pi 5

Arducam PiNSIGHT Raspberry Pi 5 AI Camera module

Arducam PiNSIGHT is an AI camera board designed for the Raspberry Pi 5 equipped with a 12.3MP auto-focus module and an Intel Movidius Myriad X-powered SoM delivering up to 4 TOPS and supporting Intel OpenVINO deep learning models. The PiNSIGHT “AI Mate” is mounted underneath the Raspberry Pi 5 to which it is connected through a 15-cm USB-A to USB-C cable. The case is made of metal and acts as a heatsink, and Arducam told CNX Software it dissipates heat enough to cool down the Raspberry Pi 5, and they don’t think the active cooler is needed anymore. In other words, it also acts as a fanless enclosure albeit it’s not in contact with the CPU, so whether it’s enough probably depends on your use case… Arducam PiNSIGHT “AI Mate” specifications: AI accelerator – Luxonis OAK-SoM based on Intel Movidius Myriad X vision processing unit delivering up to 4 TOPS […]

ArduCam Mega – A 3MP or 5MP SPI camera for microcontrollers (Crowdfunding)

Arducam Mega SPI camera

ArduCam Mega is a 3MP or 5MP camera specifically designed for microcontrollers with an SPI interface, and the SDK currently supports Arduino UNO and Mega2560 boards, ESP32/ESP8266 boards, Raspberry Pi Pico and other boards based on RP2040 MCU, BBC Micro:bit V2, as well as STM32 and MSP430 platform. Both cameras share many of the same specifications including their size, but the 3MP model is a fixed-focus camera, while the 5MP variant supports autofocus. Potential applications include assets monitoring, wildfire monitoring, remote meter reading, TinyML applications, and so on. ArduCam Mega specifications: Camera Type 3MP with fixed focus 5MP with auto-focus from 8cm to infinity Optical size – 1/4-inch Shutter type – Rolling Focal ratio 3MP – F2.8 5MP – F2.0 Still Resolutions 320×240, 640×480, 1280×720 x 1600 x1200x 1920 x 1080 3MP – 2048 x 1536 5MP – 2592×1944 Output formats – RGB, YUV, or JPEG Wake-up time 3MP – […]

Arducam OCam AI camera adds context to video streams in real-time with the PhysicO platform

Arducam OCam

Arducam OCam, whose name stands for Object Camera, is an AI camera with 3 TOPS of AI performance and designed to work with OStream‘s PhysicO Edge AI media platform that adds context to MP4 video streams in real-time. The camera supports resolutions from QVGA to 2K, takes USB or PoE power, comes with a drag-and-drop AI pipeline for easy programming/configuration, and is also compatible with common AI tools such as TensorFlow, PyTorch, Edge Impulse, and others. Arducam OCam specifications: Resolution – QVGA up to 2K Frame Rate – Up to 60 fps FoV – 80° Audio – Dual beamforming AI processing power – Up to 3 TOPS Power Supply 5V via USB PoE Power Consumption – Up to 5 Watts Dimensions – 10 cm Φ x 3 cm Weight – 400 grams As I understand it, the AI pipeline – named ObjectAgent – runs on the camera itself, and adds […]

Arducam ToF camera adds depth sensing to Raspberry Pi for $30 (Crowdfunding)

Arducam ToF camera Raspberry Pi

Arducam has launched of Time-of-Flight (ToF) camera module for Raspberry Pi that enables depth sensing by capturing 3D data (at 240×180 resolution) at a distance of up to 4 meters. Arducam has launched several cameras for Raspberry Pi boards over the years, more recently the Arducam Pi HawkEye 64MP camera, but the Arducam ToF camera is quite different, as while it still connects to the MIPI CSI connector of the SBC, it is used to measure distances and depth and display 3D data. Arducam ToF camera specifications: Compatibility – Any Raspberry Pi board with a MIPI CSI connector Effective number of pixels – 240×180 Frame Rate Up to 120 fps (sensor) Up to 30 fps (when processed by a Raspberry Pi using 4-phases RAW frames) Sensor size – 1/6-inch Modulation Frequency – 75MHz/37.5MHz Viewing Angle – 70° Diagonal Light Source – 940nm VCSEL illuminator Output Formats 4-phases RAW Frame Depth […]

Arducam Pi Hawk-eye is a 64MP camera for Raspberry Pi 4/CM4

64MP camera raspberry pi

Arducam Pi Hawk-eye is a 64MP “ultra-high resolution” camera for Raspberry Pi 4 or CM4 with built-in autofocus following the company’s 16MP autofocus camera introduced at the end of last year. The new camera module will allow you to take still images at up to 9152 x 6944 resolution, but videos will still be limited to 1080p30 on the Raspberry Pi 4. The Pi Hawk-eye is also compatible with the official Raspberry Pi v1/v2 cameras, meaning you can reuse your enclosures/mounts, and keep on using the same software, for instance, libcamera. Arducam Pi Hawk-eye specifications: Sensor – Sensor with 9152 x 6944 pixels resolution Still resolution – 64MP Video modes On Raspberry Pi – 1080p30, 720p60, and 640×480 @ 60/90fps Camera module – 1280×720 @ 120 fps, 1080p60, 2312×1736 @ 30 fps, 3840×2160 @ 20 fps, 4624×3472 @ 10 fps, 9152×6944 @ 2.7 fps Optical size – 9.25mm diagonal (7.4×5.5mm) […]

OpenScan DIY 3D scanner works with Raspberry Pi, DSLR, or smartphone cameras

OpenScan DIY 3D scanner Raspberry Pi

OpenScan is an open-source DIY 3D scanner that relies on Photogrammetry and works with Raspberry Pi camera modules, compatible ArduCam modules, as well as DSLR cameras, or the camera from your smartphone. The open-source project was brought to my attention after I wrote about the Creality CR-Scan Lizard 3D scanner. The OpenScan kits include 3D printed parts such as gears, two stepper motors, a Raspberry Pi shield, and a Ringlight module to take photos of a particular object from different angles in an efficient manner. The OpenScan Classic kit above allows for 18x18x18cm scans and comes with the following components: 1x Nema 17 Stepper Motor (13Ncm) 1x Nema 17 Stepper Motor (40Ncm) 2x A4988 Stepper driver 1x Power Supply 12V/2A (5.5-2.5mm plug) 1x Optional Bluetooth remote shutter control for smartphones If you’re going to use the Raspberry Pi as shown on the right side of the image, you’ll also need […]

Arducam Pico4ML Board – TinyML on Raspberry Pi RP2040 with QVGA Camera & Display

Arducam Pico4ML

A few months ago, ArduCAM demonstrated person detection on Raspberry Pi Pico with Arducam camera using TensorFlow Lite, and later we noted more work was being performed to bring machine learning to RP2040 platforms, notably with the development of Arducam Pico4ML board with a built-in camera and display. At the time, i..e last month, all we had were some renders of the board, but now Arducam Pico4ML pre-orders have launched for $49.99 on UCTRONICS and Tindie stores. Shipping is scheduled to start at the end of the month, so let’s have a closer look. Arducam Pico4ML TinyML devkit specifications: Microcontroller – Raspberry Pi RP2040 dual-core Cortex-M0+ MCU with 264 KB of embedded SRAM Storage – 2MB SPI flash Display – 0.96-inch LCD SPI Display (ST7735) with 160 x 80 resolution Camera – HiMax HM01B0 QVGA camera (320×240 @ 60fps) Audio – Built-in microphone Sensor – IDK ICM-20948 9-axis IMU (gyroscope, […]

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