• N3 / P3 model：NPN N.O. / N.C. & PNP N.O. /N.C. 2-in-1 outputs. • Surge suppressor and overload protection. • Compact and durable. • Single screw hole fixing.
• N3 / P3 model：NPN N.O. / N.C. & PNP N.O. /N.C. 2-in-1 outputs. • Surge suppressor and overload protection. • Compact and durable. • Single screw hole fixing.
• N3 / P3 model：NPN N.O. / N.C. & PNP N.O. /N.C. 2-in-1 outputs. • Surge suppressor and overload protection. • Compact and durable. • Single screw hole fixing.
• N3 / P3 model：NPN N.O. / N.C. & PNP N.O. /N.C. 2-in-1 outputs. • Surge suppressor and overload protection. • Compact and durable. • Single screw hole fixing.
• The IP67 rating is designed to the effective waterproof. • Body-hole type is easy to installation, anyone can replace the new sensor in a minute. • Small size (25 X 8 X 7.4mm), so can well mounted in narrow space.
The OAK-1 MAX is perfectly suited for scenarios that require the processing power of the Robotics Vision Core 2 VPU (RVC2), but without the need for depth perception. The distinguishing feature of the MAX version is its 48 megapixel color camera.
The OAK-1 PoE employs Power-over-Ethernet (PoE) for both communication and power, and is a more rugged version of the OAK-1 thanks to its IP67 sealed casing. The OAK-1-PoE baseboard offers full 802.3af, Class 3 PoE compliance with 1000BASE-T speeds, and includes one on-board camera which implements RGB vision, allowing for on-device AI processing.
The OAK-1 is perfectly suited for scenarios that require the processing power of the Robotics Vision Core 2 VPU (RVC2) but without the need for depth perception.
The OAK-1-W is perfectly suited for scenarios that require the processing power of the Robotics Vision Core 2 VPU (RVC2) but without the need for depth perception. It is a variant of the OAK-1 but with a Wider Field of View, and includes an IMX378 wide FOV 120° DFOV sensor, making it ideal for a diverse range of projects.
The OAK-1-Lite is the lightweight version of our OAK-1, employing a different 13MP color camera. It is perfectly suited for scenarios that require the processing power of the Robotics Vision Core 2 VPU (RVC2) but without the need for depth perception.