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World's First High-Efficiency AI · Edge AI

SingTown 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.

机房/配电房/单元门敞开识别

AI Sentinel Based on OpenMV: Automatic Alert for Unsecured Key Locations

Automatically detects whether the doors of key locations remain open for an extended period and issues timely alerts.

越界识别

Personnel crossing boundary triggers an alarm; OpenMV interprets the “sense of security boundary”

Detects personnel or equipment crossing virtual perimeter lines.

占道经营识别

“AI Urban Management Officer” is here: an automatic encroachment operation identification system built on OpenMV

Automatically identifies illegal street vending activities to support daily urban governance.

煤气罐违规摆放识别

Improper placement of gas cylinders? Use OpenMV to automatically trigger hazard alerts

Automatically identifies unauthorized placements of gas cylinders to proactively detect potential gas safety hazards.

绝缘手套佩戴识别

Did you perform live-line work without wearing insulating gloves? OpenMV issues an immediate alert!

Automatically identifies whether personnel are wearing insulating gloves to assist in safe operations.

光伏板异物识别

Dust, fallen leaves, or obstructions on the photovoltaic panels are automatically identified as hazards by OpenMV.

Automatically identifies obstructions on photovoltaic panel surfaces, such as dust and fallen leaves, to support operation and maintenance decision-making.

铝板缺陷识别

Utilize the OpenMV smart camera to perform real-time detection of surface defects on aluminum plates

Online identification of surface defects on aluminum plates, such as scratches and dents, to support quality control.

生产线自动计数

SingTown AI Vision Technology enables more accurate, stable, and intelligent counting on packaging production lines.

Fruit and vegetable processing equipment manufacturers adopt SingTown Technology's OpenMV intelligent camera machine vision solution, utilizing AI visual algorithms to achieve fruit volume detection and surface quality recognition, automatically completing grading and sorting, significantly enhancing the automation and consistency of fruit and vegetable processing.

口罩识别

Eliminate manual monitoring of mask-wearing—OpenMV automatically detects it using AI vision

Automatically identifies whether personnel are wearing masks in compliance with regulations and can issue on-site alerts or integrate with access control systems.

OpenMV产品图

OpenMV4 Plus utilizes Edge Impulse to self-train neural networks 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, thereby achieving image classification.

交通标志识别教程-多个目标的识别

OpenMV Self-Training Neural Network for Target Point Detection – Traffic Sign Recognition in Real-Road Environments

Traffic sign detection under complex real-world road conditions implemented using OpenMV: model accuracy reaches 92% with only 10 minutes of training.

车辆检测与红绿灯控制

Deploying the "Eyes and Brain" of Intelligent Transportation at Low Cost with SingTown's Machine Vision Solutions

The intelligent transportation system adopts SingTown Technology's OpenMV intelligent camera machine vision solution, utilizing AI visual algorithms to detect traffic flow in real-time and dynamically adjust traffic light durations. This enables adaptive signal control that "extends for heavy traffic and shortens for light traffic," thereby enhancing urban road traffic efficiency and intelligent management levels.

果蔬体积分级与品质识别

SingTown Technology Facilitates the Development of an Intelligent Fruit and Vegetable Sorting System that "Understands Produce" and is "Easy to Deploy

The fruit and vegetable processing equipment manufacturer adopts SingTown'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.

智能采摘

Addressing the "Deployment Challenges" of Intelligent Harvesting, SingTown Technology Bridges the "Last Mile" of Agricultural Intelligence

Agricultural equipment enterprises utilize SingTown Technology's OpenMV intelligent camera edge-side AI image recognition algorithm to achieve fruit and vegetable maturity identification and precise picking control, enhancing picking efficiency and intelligent level, thereby contributing to the development of smart agriculture.

无人机精准降落

SingTown Technology OpenMV Empowers Drone Visual Navigation: More Accurate, Safer, and More Autonomous

Intelligent flight equipment manufacturers utilize SingTown's OpenMV smart camera and AI vision algorithms to achieve ground target recognition and centimeter-level precision landing, significantly enhancing the positioning accuracy and autonomous flight safety of drones.

无人机目标跟踪

Enabling Drones to "See and Track," SingTown Technology Leads AI Vision to "Soar

Drone manufacturers adopt SingTown's OpenMV intelligent camera to achieve real-time target recognition, tracking, and angle feedback, enhancing the aerial monitoring and navigation accuracy of fixed-wing drones.

机器人多目标识别与环境感知

From "Seeing" to "Understanding," SingTown Technology Drives Visual Upgrade

Service robots utilize the SingTown OpenMV intelligent camera to achieve multi-target recognition of doors, gestures, QR codes, and common objects, assisting the robots in completing navigation, task triggering, and intelligent interaction.

透明亚克力罩目标识别

How Do Smart Cameras Recognize Transparent and Reflective Objects? SingTown Technology's OpenMV Solves Competition Challenges

In robot competitions, the SingTown OpenMV intelligent camera is employed to identify translucent acrylic covers in real-time, outputting the central coordinates of the image to facilitate vehicle navigation, path adjustment, and task triggering. This enables precise target localization while adapting to complex lighting conditions and ground interference.

识别货车编号

From visual recognition to data linkage, SingTown AI makes engineering operations more intelligent.

At construction machinery sites, accurate identification of truck container numbers is required. Complex ambient lighting and severe dust obstruction lead to low efficiency in manual recognition. By adopting SingTown Technology's OpenMV smart camera and AI OCR, dynamic detection and real-time recognition are achieved, enhancing operational efficiency and safety.

标签粘贴检测

Farewell to "Luck-Based" Logistics Random Inspections, SingTown Technology Enables "Full-Coverage" Efficient Inspection Implementation

Express logistics enterprises adopt SingTown's OpenMV intelligent camera recognition technology, utilizing AI visual algorithms to automatically detect the status of package label attachment. This enables intelligent identification and removal of issues such as missing, skewed, or misaligned labels, thereby enhancing sorting efficiency and accuracy.

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