A DLP structured light module is an optical projection system based on a Digital Micromirror Device (DMD), commonly used in the field of 3D vision. Its working principle is as follows: the DLP chip controls the rapid switching of a micromirror array to project pre-encoded structured light patterns (such as fringes and grids) onto the surface of a target object. Height variations on the object’s surface cause deformation of the structured light patterns. A camera captures the deformed patterns, and the 3D topography information of the object is calculated through algorithms.

DLP structured light modules are widely used in fields such as 3D scanning, industrial inspection, robotic vision, and security identification.

• In 3D scanning: They can quickly acquire high-precision 3D models of objects, supporting applications like cultural relic digitization (preserving details of ancient artifacts for archiving or virtual exhibitions) and product design (creating accurate prototypes for automotive, consumer electronics, or aerospace components).
• In industrial inspection: These modules enable the detection of component dimensional accuracy (e.g., measuring the tolerance of mechanical parts) and surface defects (such as scratches, cracks, or unevenness on metal or plastic workpieces), ensuring compliance with production quality standards.
• In robotic vision: They assist robots in recognizing the shape and position of objects (e.g., identifying irregularly shaped packages on a conveyor belt), enabling precise grasping, sorting, or assembly operations in automated production lines.
• In security identification: They are applied in biometric authentication scenarios like face recognition (capturing 3D facial features for anti-spoofing verification) and gesture recognition (enabling contactless control or identity verification in smart devices or access control systems).

        When selecting a DLP structured light module, you need to consider key parameters such as measurement range, accuracy requirements, working distance, and projection frame rate.

• For scanning large objects (e.g., furniture, automotive bodies), prioritize modules with a wide measurement range to ensure the entire object can be covered in a single scan (or with minimal stitching, reducing post-processing time).
• For projects requiring high precision (e.g., semiconductor chip 3D inspection, micro-part dimension measurement), select products with high resolution and high accuracy—look for specifications like "sub-micron level precision" or "high-density point cloud output" to ensure tiny details (e.g., 100nm surface defects) are captured.
• Determine the appropriate working distance based on your actual application scenario: If the module needs to operate in narrow spaces (e.g., inside mechanical equipment), choose a model with a short working distance (e.g., 10–30mm); for non-contact scanning of fragile objects (e.g., cultural relics, biological samples), opt for a longer working distance (e.g., 50–100mm) to avoid collision or damage.
• For scanning dynamic objects (e.g., moving assembly line parts, real-time gesture recognition), a module with a high projection frame rate (e.g., ≥30fps) is essential—it ensures fast and accurate data acquisition, preventing motion blur from affecting 3D reconstruction results.

Possible causes include invalid device calibration parameters, interference with projected patterns, camera or projection equipment malfunctions, and improper algorithm processing.

• After long-term use of the device, calibration parameters may shift, requiring re-calibration to restore accuracy.
• Ambient light and the surface properties of the object (e.g., high reflectivity, uneven texture) can interfere with the collection of projected patterns, leading to data deviations.
• Hardware damage to the camera or projection equipment—such as lens damage or DLP chip failure—will result in abnormal data output.
• Unreasonable parameter settings for the data processing algorithm (e.g., incorrect 3D reconstruction parameters) can also affect the final scanning results.

1. Regularly clean dust from the module housing and the surface of optical lenses to prevent dust accumulation from affecting light transmission and imaging quality.
2. Check whether the equipment connection cables are loose, and ensure the normal operation of power supply and data transmission to avoid interruptions during use.
3. Avoid collision or extrusion of the module, so as to prevent damage to internal components (such as DLP chips and lenses) and ensure the module’s stable performance.
4. Run the self-inspection program built into the equipment at regular intervals to check the working status of key components like the DLP chip and camera, and promptly identify potential faults.
5. Conduct a comprehensive calibration and performance test on the equipment every six months to one year, depending on the frequency of use, so as to maintain its detection accuracy and working efficiency.