OAK-D CM4

Wide field of view alternative to standard Series 2 PoE model offering Series 2 of our PoE line combines a more rugged body rated IP65, industrial M12 Ethernet connector, stand-alone mode thanks to flash memory included, new CCM options and much more.

Series 2 camera equipped with IR illumination for low-light conditions and active stereo improving depth perception.

Wide field of view alternative to standard Series 2 PoE model offering IR illumination and active stereo features in IP65 rated enclosure with industrial type connectors. Able to cover larger areas and/or more effective in multi camera setups.

For all scenarios where depth perception is not requisite, OAK-1 offers processing power of RVC2 core in a smallest possible body.

This camera module can be used with any of the FFC baseboards, perfectly suited for quick prototyping.

This camera module can be used with any of the FFC baseboards, perfectly suited for quick prototyping.

This camera module can be used with any of the FFC baseboards, perfectly suited for quick prototyping.

The OAK-FFC IR is an illumination LED (night vision) and infra-red laser dot projector (active stereo) board that adds Pro capabilities to the OAK-FFC-4P (R5 or newer revision). See syncing docs on how to enable the OAK-FFC IR.

The OAK-D-IoT-40 is the Embedded/IoT design of OAK-D. It can be used completely standalone, or via USB with a host like normal USB-only variants of DepthAI. It has a built-in ESP32 which provides WiFi, Bluetooth (including BLE), as well as other interfaces. And like the OAK-D, this model includes the BNO085 IMU which is supported in the DepthAI API This embedded variant includes a 128MB NOR flash, and boot-switch capabilities such that it can be booted over USB, or set to boot out of NOR-flash, for communication with the onboard ESP32 over SPI.

The OAK4 SoM features the Robotics Vision Core 4 and a octa-core ARM CPU. It is ideal for use in industrial automation, robotics, and security systems. OAK4 System on Module (SoM) allows integration into top-level systems with a need for a high-performance, real-time edge AI and depth perception.