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The OpenMV Cam is a computer vision board for all industries that breaks the tension between performance, power and price. The OpenMV Cam enables customers to run advanced computer vision functions (object detection, object classification, tracking, etc.) in real-time, for years off of battery power, for less than $200 per unit.
The OpenMV Cam is a general purpose MicroPython powered microcontroller platform with camera input and computer vision processing already onboard. Sense, plan, and act using MicroPython to control general-purpose I/O pins that can do I2C/SPI/PWM/etc. along with being able to read/write files and talk to the internet through wifi/ethernet.
Integrate into your drone aircraft, or drone sensor payload, serving use cases such as surveillance, surveying, inspection and delivery across various end-markets.
Distribute across Energy Facilities (Oil & Gas, Nuclear, Renewable, etc.), Production Facilities (Chemical, Paper, Steel, etc.) and Transportation Facilities (Ports, Railways, etc.) to monitor assets and process flow.
Distribute across manufacturing (CPG goods, industrial goods, medical goods, etc.) and warehousing (cross docks, sortation facilities, etc.) facilities to monitor, alert and automate existing processes.
Distribute across farms (in-field and at processing facility) and construction project sites (high-rise, commercial, residential, etc.) to monitor progress, increase productivity, increase yield and achieve safety.
Distribute smart security cameras across large sites (stadiums, airports, large offices, cities, etc.) in locations where providing power and or networking may be cumbersome:
Integrate with existing passenger cars, commercial vehicles, off-road industrial vehicles, trains and vessels to support safety and autonomy use cases.
Integrate into purpose built robots serving industries such as consumer, warehousing (AMRs), defense, agriculture, construction, etc.
Enable computer vision solutions in perimeter security, on-human. small device and air/land/sea vehicle applications
Use in K-12, undergraduate and graduate classes for teaching computer vision, mechatronics, embedded software, etc., as well as in research:
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