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GithubAs the issues of 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 posture detection technology to monitor the user's sitting posture at the desk in real-time. When it detects poor postures such as slouching, hunching, or leaning to one side, the system automatically issues a reminder.
Simultaneously, when the user remains seated for a prolonged period exceeding the set time (e.g., 45 minutes), the system will automatically activate the electric lifting mechanism, gradually raising the desktop to guide the user into a standing work mode, thereby effectively reducing the health risks associated with prolonged sitting.
This solution demands precise identification, swift response, stable control, and compatibility with 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. This system integrates AI image recognition, human pose estimation, behavior analysis, and automatic height adjustment control technologies to provide intelligent health management solutions for office environments.
The system secures the OpenMV camera above or in front of the desk, using a wide-angle lens to capture real-time images of the user's sitting posture.
AI algorithm uses key point recognition and geometric angle calculation to determine changes in head, shoulder, and spine posture, identifying user states such as 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 spontaneously assist sedentary users in standing to work: the built-in sedentary detection logic calculates the duration of continuous sitting posture. Upon exceeding the set time, it automatically sends control signals to the lifting motor, gradually raising the desk to standing height and reminding the user to stand up and move around.
Leveraging SingTown Technology OpenMV's automatic exposure compensation, real-time recognition, and low-power operation features, the system can function stably under varying lighting and body size conditions.
The test results show that the system achieves an attitude detection accuracy of over 96% within a distance of 0.6 meters, a lifting response time of less than 1 second, and a sedentary reminder error of less than 3 minutes.
This solution, built on SingTown Technology's OpenMV intelligent camera, 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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