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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 door of a key location has remained open for an extended period and issues timely alerts.

越界识别

Personnel crossing boundary triggers an alert—OpenMV defines the “sense of safety boundary”

Detects personnel or equipment crossing virtual perimeter lines.

占道经营识别

“AI Urban Management Officer” is here—a system for automatic identification of unauthorised street vending, built on OpenMV

Automatically identifies unauthorised street trading activities to support daily urban governance.

煤气罐违规摆放识别

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

Automatically identifies non-compliant placement 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 with 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

Utilise the OpenMV smart camera to identify surface defects on aluminium plates in real time

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

生产线自动计数

SingTown AI Vision Technology enables more precise, reliable, and intelligent counting on packaging production lines.

Fruit and vegetable processing equipment manufacturers adopt SingTown Technology's OpenMV intelligent camera machine vision solution, utilising 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 uses AI vision for automatic detection

Automatically identifies whether personnel are wearing masks correctly and can provide on-site alerts or integrate with access control systems.

OpenMV产品图

OpenMV4 Plus utilises Edge Impulse to independently train a neural network for face 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.

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

Using SingTown's machine vision solution to deploy the intelligent "eyes and brain" for traffic at low cost.

The intelligent transportation system employs SingTown Technology's OpenMV intelligent camera machine vision solution. It utilises AI visual algorithms to detect traffic flow in real-time and dynamically adjust traffic light durations, achieving adaptive signal control that "extends for heavy traffic and shortens for light traffic." This enhances 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 adopted SingTown Technology's OpenMV intelligent camera AI image recognition solution. Through AI visual algorithms, it achieves 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 utilise 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 capabilities, thereby supporting the development of smart agriculture.

无人机精准降落

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

Intelligent flight equipment manufacturers utilise SingTown Technology's OpenMV smart camera and AI vision algorithms to achieve ground target recognition and centimetre-level precision landing, significantly enhancing the positioning accuracy and autonomous flight safety of unmanned aerial vehicles.

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 Advancement

Service robots utilise 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 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.

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, utilising AI visual algorithms to automatically detect the status of parcel 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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