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GithubAs issues such as cervical spondylosis and lumbar fatigue caused by sedentary office work become increasingly prominent, healthy and intelligent office methods have emerged as a new industry trend. Traditional height-adjustable desks often rely on manual or timed adjustments, failing to perceive the user's actual posture and sedentary state, with limited reminder methods. To address this, smart office equipment manufacturers have adopted SingTown Technology's OpenMV smart camera to develop a machine vision-based intelligent desk system.
This system utilizes AI image recognition and human pose detection technology to monitor users' sitting posture at their desks in real time. When poor postures such as slouching, hunching, or leaning are detected, the system automatically issues a reminder.
Simultaneously, when the user remains seated for a duration exceeding the set time (e.g., 45 minutes), the system will automatically activate the electric lifting mechanism to gradually raise the desktop, guiding the user into a standing work mode, thereby effectively reducing the health risks associated with prolonged sitting.
This solution requires precise identification, rapid response, and smooth control, adapting to various office environments and individual differences.

Intelligent office equipment manufacturers have developed a smart desk posture detection system based on SingTown Technology's OpenMV intelligent camera. By integrating AI image recognition, human pose estimation, behavior analysis, and automatic height adjustment control technologies, the system provides intelligent health management solutions for office environments.
The system secures the OpenMV camera above or in front of the office desk, capturing real-time images of the user's sitting posture through a wide-angle lens.
AI algorithms determine changes in the posture of the head, shoulders, and spine through key point recognition and geometric angle calculation, identifying states such as the user sitting upright, slouching, or leaning forward.
When poor posture is detected, the system alerts the user to adjust promptly via a buzzer, voice announcement, or desktop indicator light.
The system can also autonomously assist sedentary users in transitioning to standing work: the built-in sedentary detection logic calculates the duration of continuous sitting. Upon exceeding the set time limit, it automatically sends control signals to the lifting motor, gradually raising the desk to standing height and prompting the user to stand up and move around.
Leveraging the automatic exposure compensation, real-time recognition, and low-power operation features of SingTown Technology's OpenMV, the system can operate stably under varying lighting and body size conditions.
The test results indicate that the system achieves an attitude detection accuracy rate exceeding 96% within a distance of 0.6 meters, a lifting response time of less than 1 second, and a sedentary reminder error of under 3 minutes.
Based on SingTown Technology's OpenMV intelligent camera, this solution is widely applicable in areas such as smart office desks, corporate health management systems, and remote work equipment. It enables AI machine vision to genuinely empower occupational health management, providing professionals with a scientific and intelligent healthy office experience.

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