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Advanced camera module for IoT systems that combines stereoscopic depth vision with a high-resolution RGB camera. With built-in neural network processing and computer vision capabilities, the camera enables real-time image analysis, and connectivity and power are provided by a USB Type-C port with fast data transfer (USB 3.2 Gen1). The module is equipped with additional technologies such as ESP32 for wireless communication (WiFi, BLE) and a 9-axis IMU BNO085, making it an ideal solution for robotics and motion analysis applications. Luxonis OAK-D-IoT-40
OAK-D IoT is an advanced module with cameras designed for vision systems in IoT (Internet of Things) applications. It combines stereoscopic depth perception with a high-resolution RGB camera, offering human-like perception. Thanks to built-in neural network processing and computer vision capabilities, the camera enables advanced real-time image analysis. The device uses a USB Type-C port for power and connectivity, providing fast data transfer via USB 3.2 Gen1 (5 Gbps). The OAK-D IoT is based on the RVC2 architecture, offering 4 TOPS of computational power (including 1.4 TOPS dedicated to AI tasks). The OAK-D supports any AI models, including custom ones, after prior conversion. The device allows encoding in formats such as H.264, H.265, MJPEG with resolutions of 4K/30FPS and 1080P/60FPS. In the field of computer vision, it offers features like distortion correction, resizing, image cropping, edge detection, and feature tracking. Additionally, the camera offers both 2D and 3D object tracking using the ObjectTracker module.
The module is equipped with a color camera featuring a 12MP IMX378 sensor (4056x3040 resolution) and two stereo cameras with a 1MP OV9282 sensor (1280x800 resolution). It also includes an ESP32 module, allowing wireless connectivity via WiFi and Bluetooth Low Energy (BLE). Additionally, it features 128 MB of NOR Flash memory, providing sufficient space for data and software. The kit also includes an integrated 9-axis BNO085 IMU for precise motion and orientation measurements, making it ideal for applications in robotics and drones.
Power consumption in the OAK-D depends on the load of the modules, including the vision processing unit (VPU). Basic power consumption while streaming video ranges from 2.5W to 3W, with additional power requirements for the AI system up to 1W, the stereoscopic system up to 0.5W, and the video encoder also up to 0.5W. The total power consumption can reach up to 5W when all functions are used simultaneously. This makes it an ideal solution for projects requiring precise robotic vision, AI, depth analysis, and real-time motion tracking.
Data sheet
Manufacturer BTC Korporacja sp. z o. o. Lwowska 5 05-120 Legionowo Poland sprzedaz@kamami.pl 22 767 36 20
Responsible person BTC Korporacja sp. z o. o. Lwowska 5 05-120 Legionowo Poland sprzedaz@kamami.pl 22 767 36 20
OAK-D robotic vision camera that combines stereoscopic depth vision with a high-resolution RGB camera to provide real-time image analysis. With built-in AI processing capabilities and 4 TOPS of processing power, the camera supports custom AI models as well as 2D and 3D object tracking. The rugged aluminum housing, USB-C port, and integrated 9-axis inertial module make it an ideal solution for projects requiring precise vision, motion tracking, and depth analysis in robotic applications. Luxonis OAK-D
Advanced AI camera, optimized for precise depth measurement at short distances, from 30 cm to 1 m, ideal for applications such as quality control or production automation. The camera is based on the OAK-SoM-Pro module, which allows for a compact design and easy installation in robotic systems. Equipped with a USB Type-C port, it offers 4 TOPS computing power and supports H.264, H.265, MJPEG formats, enabling advanced image analysis and object tracking in 2D and 3D. Luxonis OAK-D Short Range
Robotic vision camera that combines stereoscopic depth vision with a high-resolution RGB camera to provide real-time image analysis. With built-in AI processing capabilities and 4 TOPS of processing power, the camera supports custom AI models as well as 2D and 3D object tracking. The rugged aluminum housing, USB-C port, and integrated 6-axis inertial module make it ideal for projects requiring precise vision, motion tracking, and depth analysis in robotic applications. Luxonis OAK-D Lite Fixed-Focus
Buy the base and top of this case separately to mix-and-match your choice of colors. Recommended to protect the ODROID-XU4 board from accidental damage.
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Buy the base and top of this case separately to mix-and-match your choice of colors. Recommended to protect the ODROID-XU4 board from accidental damage.
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Pre-installed XUbuntu 15.04 or latest version for ODROID-XU3 and XU4. Ready to run out of box 8Gbyte eMMC Version 5.0 interface from Toshiba
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Pre-installed Android4.4 or latest version for ODROID-XU3 and XU4. Ready to run out of box 8Gbyte eMMC Version 5.0 interface from Toshiba. JEDEC/MMCA version 5.0:HS400 interface with 8bit DDR mode
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Pre-installed XUbuntu 15.04 or latest version for ODROID-XU3, XU4 and HC1
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Pre-installed XUbuntu 15.04 or latest version for ODROID-XU3, XU4 and HC1
No product available!
This level shifter board contains 3 x TSX0108E bi-directional level shifter ICs. The 30-pin and 12-pin GPIO ports on the XU4 are converted to the more common 0.1inch (2.54mm) pitch 40-pin header. All the signals can be level shifted to 3.3V or 5V.
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The Cloudshell for XU4 is an affordable DIY Network Attached Storage (NAS) Solution to create your own personal cloud! It includes a color LCD console display on the front and has room for a 2.5inch HDD/SSD along with the XU4 board inside the CloudShell
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The Cloudshell for XU4 is an affordable DIY Network Attached Storage (NAS) Solution to create your own personal cloud! It includes a color LCD console display on the front and has room for a 2.5inch HDD/SSD along with the XU4 board inside the CloudShell
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Cooling Fan X is a cooling fan that can be used to cool any processor that works under heavy load. It can be mounted on the heat sink housing with 4 screws
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Photon Wearable Shield makes it easy to add the WiFi enabled Photon to any wearables project. Each pin on the Photon is broken out into large sewing pins. Use conductive thread to make your next wearables projects. DEV-13328
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The cable allows connecting the ATMEL-ICE programmer to the commissioning set with any connector (operated by the programmer), through individual pin connectors
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1-channel monochrome system of adding subtitles on the image (OSD - On-Screen Display) with integrated EEPROM, TSSOP28, Maxim memory
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No product available!
The controller can control two brush motors, communicating with the master system using USB Micro-B, TTL serial interface, analog signals, as well as signals from the RC apparatus. The current capacity of 5A / channel allows you to control high-power motors. Polol 2394
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EEPROM CAT93C86LI-G memory; 16kbit; 2K x 8bit; access time: 150ns; Power supply: 1.8 ... 5.5 V; 8-Pin PDIP
No product available!
Advanced camera module for IoT systems that combines stereoscopic depth vision with a high-resolution RGB camera. With built-in neural network processing and computer vision capabilities, the camera enables real-time image analysis, and connectivity and power are provided by a USB Type-C port with fast data transfer (USB 3.2 Gen1). The module is equipped with additional technologies such as ESP32 for wireless communication (WiFi, BLE) and a 9-axis IMU BNO085, making it an ideal solution for robotics and motion analysis applications. Luxonis OAK-D-IoT-40