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Optical tracking is a method of determining the position of an object in real time by tracking the positions of active or passive infrared markers connected to the object. A camera system is used to determine the position of the point of reflection.
Optical tracking systems follow the user by using visual data. There are numerous ways to accomplish this. The most popular method is to “watch” the tracked object or person using a video camera that functions as an electronic eye.
In most cases, the video camera is fixed in place. The position of the object is then ascertained using computer vision techniques based on what the camera “sees.” Other than video cameras, light-sensing technology is sometimes applicable.
Optical tracking determines the pose of a monitored item by measuring the amount of light that is transmitted or reflected by the object. When this light is sent from the item, it is referred to as active optical tracking. Light is reflected in passive optical tracking.
Active tracking is only utilised in the OR because it necessitates running connections to the LEDs. As a result, we will concentrate on passive tracking.
The Global optical tracking system market accounted for $XX Billion in 2023 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
Development of Sliding Mode Controller Based on Internal Model Controller for Higher Precision Electro-Optical Tracking System. The vibration of the moving carrier, wind resistance torque in motion, the unpredictability of mechanisms, the nonlinear friction between frames, and other disturbances have an impact on the electro-optical tracking system (ETS) on moving platforms and may cause the EOT platform to become unstable.
The ability of ETSs to suppress system disturbances can be improved by sliding mode control (SMC), which offers considerable robustness to system disturbances and unknown dynamic external signals.
The tremendous robustness of SMC, however, necessitates a higher switching gain, which results in significant chattering. While this is true, SMC’s tracking accuracy could yet be enhanced.
Therefore, an SMC controller based on internal model control (IMC) is suggested in order to address the chattering issue of SMC and enhance the tracking accuracy of SMC.
As opposed to conventional SMC, the proposed solution efficiently addresses the chattering issue while enhancing the system’s tracking accuracy. It may be utilised to suppress the strongest disturbance with the least amount of switching gain.
Lifting wavelet threshold denoising is also added to the control structure to further increase the system’s tracking accuracy by reducing the negative effects of sensor noise on the control affect.The results of the simulation and the experiment attest to the superiority of the suggested control strategy.
