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Home - News - 8MP Autofocus Camera Module: Visual Upgrade for AI Collaborative Robots

8MP Autofocus Camera Module: Visual Upgrade for AI Collaborative Robots

October 23, 2025

Techman Robot (TM Robot)’s series of AI collaborative robots (such as the S Series, TM255, TM30S, etc.) are centered on the "native AI engine + robotic arm + vision system" and are widely used in fields like electronic manufacturing, mechanical processing, and automotive assembly. They undertake high-precision tasks including machine monitoring, packaging, welding, and palletizing. The 8MP autofocus camera module based on the OmniVision OV8856 sensor, with its hardware parameters and process characteristics, can deeply adapt to the vision requirements of such robots. It enhances the automation capabilities of TM AI collaborative robots from four dimensions: perception accuracy, dynamic adaptation, scenario compatibility, and industrial reliability. The specific advantages are analyzed as follows:

I. High Resolution and Detail Preservation: Enhancing Robotic Visual Positioning Accuracy

One of the core requirements of TM AI collaborative robots is to achieve workpiece positioning, defect detection, and task calibration through the vision system. The pixel specifications and color output capabilities of the 8MP module can directly improve the accuracy of this process.

 

From the perspective of parameter adaptation, the module’s 8MP effective pixels, combined with the 10-bit RGB RAW output format, can retain uncompressed original image data. When identifying small workpieces, it can clearly present detailed features at the 0.1mm level, avoiding positioning deviations caused by insufficient pixels. At the same time, the 10-bit color depth supports smooth color gradation transitions, which can help robots distinguish material differences on the workpiece surface and reduce the probability of misidentification.

 

Combined with TM Robot’s application scenarios, for example, when the TM125 performs machine monitoring tasks, it needs to check whether workpieces processed by machine tools have burrs. The high resolution of the module can capture burr defects at the 0.2mm level. The combination of HDR function and PureCel® technology can handle strong light and shadows in factories, avoiding the loss of workpiece edge details due to light contrast and ensuring that the robot can still accurately grasp or detect under complex lighting conditions.

 

In addition, the module’s low distortion characteristic (TV distortion < -0.8%) can adapt to the wide working range of TM Robots. When the robot covers a large-scale operation area through the vision system, the low-distortion image can ensure the true coordinate ratio of the workpiece, preventing the robotic arm from grabbing position deviations caused by edge stretching and further improving task accuracy.

II. Dynamic Focus and Smooth Output: Adapting to Robots’ Dynamic Tasks in Multiple Working Conditions

TM AI collaborative robots often need to handle dynamic scenarios and switch tasks frequently. The frame rate and focusing characteristics of the 8MP module can meet this dynamic demand.

 

In terms of dynamic output, the module supports 4K@30FPS high-definition image transmission, which can capture moving workpieces in real time without frame freezes or motion blur. For example, when the TM4S performs express packaging tasks, it can smoothly track cartons moving at 0.5m per second through the module, ensuring that the robotic arm accurately fits the sealing position.

 

In terms of focusing capability, the module’s wide-range autofocus function (10cm~Infinity) perfectly matches the multi-distance operation needs of TM Robots: the close-range mode can adapt to precision operations within 10cm, while the long-range mode can cover Infinity-level long-distance monitoring. With a focusing response speed of < 0.3 seconds, it can quickly switch tasks without manual intervention. Taking the TM30S as an example, during heavy palletizing tasks, it needs to grab plastic bottles from the ground and then stack them on a 2m-high pallet. The module’s autofocus can synchronize with the movement trajectory of the robotic arm, avoiding palletizing misalignment caused by focusing delays.

III. Universal Interface and Slim Design: Reducing Robot Integration Threshold

TM AI collaborative robots need to be compatible with vision module installations in different scenarios and seamlessly connect with the native AI engine. The interface and size characteristics of the 8MP module can reduce integration difficulty.

 

In terms of interface compatibility, the module adopts the industry-universal MIPI CSI-2 interface, which can be directly connected to the vision processing unit of TM Robots without customizing exclusive interface protocols. Compared with modules with special interfaces, this can reduce integration and debugging time by more than 30%, which is especially suitable for small and medium-sized enterprises that deploy TM Robots in batches, lowering technical thresholds and costs.

 

In terms of size adaptability, the module is equipped with a 1/4-inch sensor and has an overall slim and lightweight design, allowing flexible installation in different positions of TM Robots: if installed at the end of the robotic arm, the slim design will not significantly increase the load of the robotic arm , avoiding affecting the robot’s load capacity; if installed on the side of the body, it can cover a larger operation area through the 82.7° wide field of view without adding additional cameras, simplifying hardware configuration.

IV. Industrial-Grade Reliability and Compliance: Adapting to Long-Term Stable Operation in Factories

TM AI collaborative robots need to operate for a long time in complex factory environments and comply with global industrial standards. The process and certification system of the 8MP module can ensure stable adaptation.

In terms of durability, the module adopts COB technology and AA (Active Alignment) process: COB technology can improve the module’s vibration resistance, enabling it to withstand the vibration of the robotic arm during TM Robot operation, avoiding image deviation caused by lens loosening; the AA process ensures consistent imaging of modules in the same batch. When a factory deploys multiple TM Robots in batches, the visual accuracy deviation of each robot can be controlled within ±0.1mm, facilitating unified debugging and maintenance.

 

In terms of compliance, the module has passed FCC, CE, Reach, and RoHS certifications, which can adapt to the global deployment needs of TM Robots. For example, when an automotive parts factory introduces TM Robots for export to the European market, the module does not require additional compliance modifications to meet EU industrial environmental protection and electromagnetic compatibility standards. At the same time, the RoHS certification ensures that the module will not release harmful substances under high-temperature and low-temperature fluctuations, complying with industrial safety regulations.

 

In conclusion, through four core advantages—"high-precision perception, dynamic adaptation, low integration threshold, and industrial-grade reliability"—the 8MP autofocus camera module can accurately match the vision requirements of TM AI collaborative robots. It not only enhances the task accuracy and efficiency of robots in fields such as electronics, automotive, and mechanical processing but also reduces the deployment costs and maintenance difficulties for enterprises, helping TM Robots realize the core value of "smart manufacturing."