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GithubSingTown Technology is the official founding team of OpenMV. In 2016, we launched the world's first embedded machine vision product, OpenMV Cam, which is the first product to run image algorithms on embedded MCUs, also the world's first High-Efficiency Edge AI smart camera.
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 AI deep learning models and advanced computer vision functions (object detection, object classification, tracking, etc.) in real-time, for years off of battery power, for low cost per unit.
The OpenMV Cam is a general purpose MicroPython powered microcontroller platform with camera input and computer vision processing as well as high performance AI machine learning features 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.
SingTown Technology is a leader in the embedded machine vision industry, serving over 3,000 universities and 20,000 enterprises around 100+ countries worldwide. Our vision is to practice social responsibility and drive social progress through technology.

“AI Municipal Supervisor” is here—An automated encroachment detection system built on OpenMV
Automatically identifies illegal street vending activities to support daily urban governance.

Improper Placement of Gas Cylinders? Use OpenMV to Automatically Trigger Hazard Warnings
Automatically identifies non-compliant placement of gas cylinders to proactively detect potential gas safety hazards.

OpenMV is capable of identifying the status of exposed soil piles and dust-proof net coverage.
Automatically distinguishes between exposed soil piles and dust-proof net coverage status to support environmental regulation.

Elevated hazards are detected not by the naked eye but proactively identified by OpenMV using AI
Continuously monitor cracks and spalling risks on the exterior façades of high-rise buildings to provide early warnings of potential hazards.

Dog walking without a leash—OpenMV enables second-level recognition and alerts
Automatically detects whether a dog is on a leash during walks, assisting communities in managing pet ownership in a civilised manner.

OpenMV4 Plus uses Edge Impulse to self-train a neural network for mask recognition.
In this tutorial, you will use machine learning to build a recognition system that can identify whether a person is wearing a mask through the OpenMV4 H7 Plus smart camera, achieving image classification.

Based on SingTown Technology's OpenMV, the AI visual system for waste classification reduces costs and enhances stability.
Environmental equipment manufacturers utilise SingTown's OpenMV intelligent camera image recognition and AI machine learning visual algorithms to achieve automatic identification and classification of waste items, enhancing sanitation efficiency and sorting accuracy, thereby promoting smart sanitation and green city development.

Beyond Automated Billing, Understanding Health Management: SingTown Technology Assists in Building Intelligent Dining Systems
Catering enterprises utilise SingTown's OpenMV intelligent camera AI image recognition vision technology to achieve automatic plate identification, rapid settlement, and nutrition monitoring, enhancing efficiency during peak hours and customer experience, thereby promoting the intelligent upgrade of smart dining.

AI can urge office workers to sit up straight, SingTown Technology brings a sedentary management solution.
Intelligent office equipment utilises the SingTown OpenMV smart camera to achieve posture recognition and prolonged sitting detection, automatically reminding and driving the height-adjustable desk to adjust posture, thereby promoting healthy office practices.

How does an intelligent camera recognise transparent and reflective objects? SingTown Technology's OpenMV solves competition challenges
In robot competitions, the SingTown OpenMV intelligent camera is employed to identify the translucent acrylic cover in real-time, outputting the central point of the image coordinates. This enables vehicle navigation, path adjustment, and task triggering, achieving precise target positioning while adapting to complex lighting and ground interference.