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GithubWith the increasing prominence of issues such as cervical spondylosis and lumbar fatigue caused by sedentary office work, healthy and intelligent office methods have become a new trend in the industry. 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 build a machine vision-based intelligent desk system.
This system utilises AI image recognition and human posture 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 prolonged period exceeding the set duration (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. This effectively reduces the health risks associated with prolonged sitting.
This solution requires precise identification, rapid response, and stable 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 desk, using a wide-angle lens to capture real-time images of the user's sitting posture.
AI algorithms determine changes in head, shoulder, and spine posture by identifying key points and calculating geometric angles, assessing whether the user is sitting upright, slouching, or leaning forward.
When poor posture is detected, the system will alert the user to make timely adjustments 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 user's continuous sitting duration. Upon exceeding the set time, it automatically sends a control signal to the lifting motor, gradually raising the desk to standing height and prompting the user to stand up and move around.
Leveraging SingTown Technology's OpenMV features such as automatic exposure compensation, real-time recognition, and low-power operation, the system can operate stably under varying lighting conditions and body sizes.
Test results indicate that the system achieves an attitude detection accuracy exceeding 96% within a distance of 0.6 metres, a lifting response time of less than 1 second, and a sedentary reminder error of under 3 minutes.
This solution, built upon 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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