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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.

SingTown Technology assists in creating an intelligent fruit and vegetable sorting system that "understands produce" and is "easy to deploy".
The fruit and vegetable processing equipment manufacturer adopts SingTown Technology's OpenMV intelligent camera AI image recognition solution, utilizing AI visual algorithms to achieve fruit volume detection and surface quality identification, automatically completing grading and sorting, significantly enhancing the automation and consistency of fruit and vegetable processing.

Addressing the "Difficulty in Deployment" of Intelligent Harvesting, SingTown Technology Bridges the "Last Mile" of Agricultural Intelligence
Agricultural equipment enterprises utilize SingTown Technology's OpenMV smart camera edge-side AI image recognition algorithm to achieve fruit and vegetable maturity identification and precise picking control, enhancing picking efficiency and intelligence levels, and contributing to the development of smart agriculture.

Precise identification of broadleaf weeds within 0.5 seconds, SingTown technology drives agricultural machinery upgrades.
Agricultural intelligent devices utilize the SingTown OpenMV smart camera to achieve automatic identification and control of broadleaf weeds in the field for spraying or weeding operations, enhancing weeding efficiency and reducing pesticide usage.

The fish is sick, SingTown Technology OpenMV knows first.
Aquaculture manual detection of fish diseases is inefficient and easily affected by lighting and water quality. Using SingTown OpenMV smart cameras and AI vision enables real-time identification of fish diseases such as white spots, tail and fin rot, improving the efficiency and accuracy of health monitoring.

SingTown Technology's visual AI empowers agricultural equipment to achieve automated plastic film detection.
Manual inspection of agricultural machinery for plastic film is inefficient and prone to missed detection. By utilizing the SingTown OpenMV smart camera and AI vision technology, film width detection and damage identification are achieved, enabling real-time monitoring of laying quality and enhancing operational efficiency and intelligent capabilities.

Not only the fish know when the fish tank is dirty; SingTown's water quality monitoring system "sees the dirt and cleans automatically.
Manual water quality monitoring through visual observation is time-consuming and subjective, making continuous detection difficult. By employing the SingTown OpenMV smart camera and AI vision technology, automatic identification and analysis of sediment, silt, and algae deposits at the bottom of transparent containers are achieved, thereby enhancing monitoring efficiency and intelligence.

The seedling cultivation system integrates AI vision, and SingTown Technology enables cameras to "help you farm.
Agricultural equipment manufacturers adopt SingTown's OpenMV intelligent camera image recognition technology, utilizing AI visual algorithms to achieve automatic detection and statistics of "seedling presence/empty holes" in seedling trays, significantly enhancing the automation and standardization levels of the seedling cultivation process.

SingTown Technology gives lawn mowers 'eyes': they can distinguish crops from weeds and navigate around them on their own.
SingTown Technology's intelligent camera system, based on OpenMV, can be installed on field weeding machines to achieve intelligent recognition and tracking of operational and non-operational areas. Through AI and machine vision algorithms, the system distinguishes crops from weeds, precisely controls weeding paths, avoids accidental damage to crops, and provides an efficient, intelligent visual navigation solution for modern agricultural automation.

Mold spots and cracks on rice grains cannot escape the sharp detection of SingTown Technology's AI vision.
Ang sistema ng intelligent camera ng SingTown Technology na nakabatay sa OpenMV ay nagbibigay-daan sa awtomatikong pagkilala sa mga bitak sa ibabaw at amag na spot sa mga butil ng bigas. Sa pamamagitan ng paggamit ng teknolohiyang machine vision at pagkilala sa imahe, kinukuha ng sistema ang maliliit na bitak, paglaki ng amag, o mga abnormalidad sa kulay, na nagbibigay ng mataas na kawastuhan at matalinong solusyon sa pagtuklas para sa pagproseso ng butil, pagsusuri ng kalidad, at kaligtasan sa pagkain.

24/7 Online AI "Yaya" para sa mga Halaman at Hayop – SingTown Technology Real-Time na Monitoring Solution
Ang sistema ng intelligent camera ng SingTown Technology na nakabase sa OpenMV ay nagbibigay-daan sa awtomatikong pagkilala at pagsubaybay sa paglaki ng mga halaman, hayop, at insekto. Sa pamamagitan ng teknolohiya ng machine vision at pagkilala ng imahe, ang sistema ay nakikilala ang iba't ibang yugto ng paglaki batay sa mga katangian tulad ng laki ng katawan, anyo, o kulay. Nagbibigay ito ng real-time na suporta sa datos at mga kagamitan sa matalinong pagsusuri para sa agrikultura, siyentipikong pananaliksik, at pagsubaybay sa ekolohiya.