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With the continuous advancement of automation in the manufacturing industry, welding robots have become an integral part of production lines across many sectors. Especially for complex welding tasks, integrated visual tracking systems can significantly enhance welding accuracy and efficiency, reduce manual intervention, and meet more demanding production requirements. Today, let’s explore the five core technological elements of integrated visual tracking systems in welding robots to help you better understand and select the right welding automation solutions. High-Precision Laser Sensing Technology Laser sensors are one of the core components of the welding robot’s visual tracking system. By utilizing laser distance measurement technology, the system can accurately detect the real-time position and changes of the weld seam, ensuring high-precision control during the welding process. The Weld Navigator laser sensor is equipped with anti-interference capabilities, allowing it to adapt to harsh working conditions such as high temperatures, smoke, and bright lights, ensuring the system remains stable and reliable in complex environments. Visual Image Processing and Algorithm Optimization Welding robots need to capture images of the weld seam through visual sensors and analyze them in real time using image processing algorithms. This process includes precise recognition of the weld seam's position, shape, and orientation, which allows the robot to adjust its path planning and welding angles. The core of Weld Navigator’s image processing technology lies in its efficient algorithm optimization, enabling the system to process large amounts of data in dynamic, real-time production environments, making quick and accurate decisions. Real-Time Dynamic Tracking and Control Real-time dynamic tracking refers to the system’s ability to continuously track weld seam changes during the welding process and quickly send feedback to the robot for position adjustment. This technology requires the system to have extremely fast response speeds and data transmission capabilities, ensuring that the robot can immediately adapt to weld seam chang

Today, domestic manufacturing in China has become very mature. After years of rapid development, the domestic market now demands higher precision and efficiency in welded components. However, many welders face limitations due to technical skill and fatigue, leading to welding that does not meet standards. Additionally, welding generates sparks, splatter, and smoke, all of which pose health risks to workers. With advancements in technology and rising production demands, automation has been naturally accelerated. Today, automation and intelligent technologies are increasingly applied in the welding field, making welding seam tracking systems a key focus in welding automation research. Precise and efficient Weld Navigator seam tracking can quickly locate the weld seam accurately and ensure weld quality, marking a critical direction in welding automation. Laser seam tracking technology addresses problems like missed welds and weld misalignment in laser welding applications. By integrating a laser seam tracking system with industrial robots or specialized welding machines, it automatically detects and adjusts the position of the welding torch during the welding process, maintaining a constant distance between the torch and the workpiece. This ensures weld quality, increases welding efficiency, and reduces labor intensity. It also solves issues like weld quality caused by workpiece thermal deformation or inconsistency, and frees welders from hazardous environments, preventing physical harm. With the current market’s urgent demands, Weld Navigator's self-developed laser seam tracking system can truly achieve welding automation. By integrating the seam tracking system with automated equipment, it offers a comprehensive solution that improves weld quality and efficiency while reducing the physical strain on welders. Weld Navigator's laser seam tracking system, developed in-house with multiple patents, utilizes complex algorithmic programs for online real-time seam detection. It tracks without contact, using sensors to measure seam offset and guide the welding torch to the correct position. The system offers aesthetically pleasing weld formation, reliable qualit

The Weld Navigator laser weld seam tracking sensor adopts a laser triangulation principle, where the laser beam is expanded to form a laser line projected onto the surface of the object being measured. The reflected light passes through a high-quality optical system and is projected onto an imaging matrix. The sensor calculates the distance (Z-axis) and position information along the laser line (X-axis). By moving the measured object or probe, a set of three-dimensional measurement values is obtained. This information can be used for seam search and positioning, seam tracking, adaptive welding parameter control, seam formation inspection, and real-time transmission to robotic units, completing various complex welds, avoiding quality deviations, and enabling unmanned welding. Components and Functions of the Weld Seam Tracking Sensor The Weld Navigator seam tracking sensor mainly consists of a CCD camera, a semiconductor laser, a laser protection lens, a splash guard, and a wind cooling system. Using optical propagation and imaging principles, it obtains the position information of each point within the laser scanning area, and through complex algorithms, it performs online real-time detection of common weld seams. The sensor is typically installed at a preset distance (ahead) from the welding gun, allowing it to observe the distance from the sensor body to the workpiece, meaning the installation height depends on the sensor model. When the welding gun is correctly positioned above the seam, the camera can observe the weld seam. CCD Camera The main function of the CCD camera in the seam tracking sensor is to capture images. When photographing an object, the reflected light from the object passes through the camera's lens and is transmitted to the CCD. After exposure, the photodiodes are excited by the light, releasing charge, and the electrical signal is generated. The CCD controller controls the current generated by the photodiodes through a signal line, and the camera collects this signal and sends it to an amplifier. After amplification and filtering, the signal is sent to an A/D converter to be converted from an analog to a digital signal. The numerical values

With the continuous development of manufacturing, the requirements for product welding technology are becoming increasingly demanding. In order to improve welding quality and reduce the labor intensity and working environment challenges for workers, welding automation has become an important direction. However, many welding tasks have unique challenges, such as easy deformation of workpieces or inconsistent joints, which complicate automated welding. The Weld Navigator seam tracking system was specifically developed to address these issues. Let's take a look at the structure of the laser vision seam tracking system. Laser Vision Tracking System Structure The laser, acting as the structured light source, projects laser stripes onto the work surface below the sensor at a predetermined angle. The CCD directly observes the stripes on the surface under the sensor. The sensor is installed at a preset distance in front of the welding gun, enabling it to monitor the weld seam. During tracking, welding speed and forward viewing distance are used to calculate the delay time, ensuring that the welding gun follows the seam. Laser Vision Sensor The compact Weld Navigator laser vision sensor is typically installed on the side of the welding gun. The laser diode inside the sensor emits a visible laser beam, which is transformed into a fan-shaped light strip by the aperture, illuminating the workpiece. A CCD camera, set at an angle relative to the laser diode, captures the reflected light from the workpiece surface, forming an image of the joint's geometric profile on the CCD. Using optical triangulation, the system not only detects horizontal features but also determines the height between the sensor and the workpiece. The sensor's function is to convert the measured physical quantity into a useful electrical signal that corresponds to the quantity, fulfilling the requirements for information processing and control. The control system analyzes the signal from the sensor and generates control signals. The actuator typically consists of a motor and cross slide, with the servo motor controlled by the control signals. Image Preprocessing In the welding robot v

There are many types of fans, and axial fans and centrifugal fans are two common types. The quality of the welding between the fan casing and the impeller directly determines the fan’s quality and appearance. Traditional automatic welding equipment struggles to perform automated welding due to its inability to track the weld seam in real time, often relying on manual welding instead. Challenges in Fan Blade Welding The efficiency and quality of mainstream seam-tracking welding methods are often not satisfactory. When using a positioning method, the curvature of the fan blades may require multiple points to be located before welding can begin, making the positioning welding process time-consuming. If a tracking method is used, the teaching and debugging process is difficult, with frequent interference and unstable weld point tracking. As a result, the welding cycle time and the final results may not meet customer requirements. Weld Navigator System Solution for Fan Blade Welding The Weld Navigator system provides a solution for (axial-centrifugal) fan blade welding, offering the following advantages over traditional positioning tracking welding methods: No teaching required, no programming needed, simple operation and easy to learn. Automatically detects the welding start and end points for full welding. Real-time 3D scan image display. Compatible with both axial and centrifugal fans. Welding on both sides through offset adjustments. No need to consider the impact of arc light. Introduction to Fans There are many types of fans, with axial fans and centrifugal fans being two of the most common. Axial fans are mainly used for ventilation, air exchange, or heat dissipation, and are commonly found in metallurgy, chemical industries, light industry, food processing, pharmaceutical equipment, mechanical equipment, and civil buildings. Centrifugal fans are widely used for ventilation, dust removal, and cooling in factories, mines, tunnels, cooling towers, vehicles, ships, and buildings; ventilation and induced draft for boilers and industrial furnaces; cooling and ventilation in air conditioning and household appliances; drying and sorting of

In the industrial welding field, real-time monitoring of the welding molten pool is crucial for ensuring welding quality, increasing production efficiency, and reducing production costs. The Weld Navigator molten pool monitoring camera can monitor the molten pool status in real-time during the welding process, helping to optimize welding parameters, reduce defects, and improve production efficiency. However, with a variety of molten pool monitoring cameras available on the market, how do you choose the one that suits your needs? Below are some key factors to help you make the right choice. Adaptability to the Working Environment The welding process often involves various interference factors such as high temperatures, high light intensity, and smoke, making the working environment harsh. Therefore, the welding molten pool monitoring camera must be equipped with strong anti-interference capabilities, excellent heat resistance, and a high protection rating. When choosing a camera, consider whether it can work stably under these extreme conditions. Camera Resolution The details of the molten pool have a significant impact on welding quality. Therefore, a high-resolution Weld Navigator camera can provide clearer and more accurate images, especially in welding processes that require precise control. It helps operators adjust welding parameters in a timely manner to ensure welding quality. However, the higher the resolution, the more expensive the camera. You need to weigh the cost against the actual requirements. Real-Time Feedback and Image Processing Capability Molten pool monitoring requires real-time feedback on changes in the welding process, and quick response is critical. Choose a camera that supports high frame rates and real-time image processing. The higher the frame rate, the smoother the image, which more accurately reflects the dynamic changes in the molten pool and ensures real-time accuracy in high-speed welding processes. Automatic Adjustment and Intelligent Integration With the development of automation and intelligence, more and more welding molten pool monitoring cameras support integration with welding robots

Dear Valued Customers, Partners, and Visitors, We are excited to announce a significant update to our brand identity. ATINY LASER SENSOR COMPANY is now officially rebranding our logo and corporate identity to Weld Navigator. This change marks an important step in our company's evolution and highlights our continuous commitment to innovation, precision, and leadership in the field of laser technology for automated welding. As part of our ongoing efforts to refine our products and services, this new brand identity better reflects our core mission of providing advanced laser-based solutions that guide the future of welding automation. Thank You for Your Support We know that the growth of ATINY would not have been possible without the support and trust of each of our customers and partners. This brand upgrade marks an important step toward achieving greater goals. We will continue to drive innovation, be guided by customer needs, and work closely with you to build a brighter future for welding technology.

In industrial production, welding quality directly impacts the safety and lifespan of products. Traditional welding quality inspections often rely on post-welding checks, which are lagging and cannot monitor the welding process in real-time, making it difficult to ensure consistent welding quality. ATINY's welding pool monitoring camera offers a new solution for welding quality control by providing real-time monitoring of the welding pool state. This article explores how ATINY's welding pool monitoring camera enhances welding quality. 1. Working Principle The welding pool monitoring camera is a high-precision industrial vision device specifically designed for welding process monitoring. Its primary principle involves using a high-frame-rate, high-resolution industrial camera to capture real-time images of the welding pool. Intelligent algorithms then analyze key parameters such as the pool's morphology, size, and position. ATINY's welding pool monitoring camera employs advanced optical filtering technology to effectively eliminate strong light interference, ensuring clear visibility of welding pool details. 2. How Does the Welding Pool Monitoring Camera Improve Welding Quality? (1) Real-time Monitoring Ensures Welding Stability Traditional welding quality inspections mainly depend on post-welding checks. In contrast, the welding pool monitoring camera can monitor the pool state in real-time during the welding process, promptly identifying deviations and reducing defect rates. (2) Precise Control Improves Weld Consistency Through image analysis, the welding pool monitoring camera can accurately identify the size and shape of the pool. It integrates with the welding control system to adjust parameters intelligently, achieving uniform weld formation. (3) Reduces Human Intervention, Enhances Production Efficiency In traditional welding operations, workers rely on experience to judge the welding state. With ATINY's welding pool monitoring camera, the system automatically identifies the welding state and provides real-time data, significantly reducing manual intervention and improving welding production efficiency. (4) Supports Data Storage

In modern manufacturing, welding automation has become a key factor in improving production efficiency and ensuring welding quality. Faced with different workpiece shapes, materials, and welding methods, traditional welding automation equipment struggles with inefficiency, lack of precision, and difficulty adapting to complex workpieces. With its high precision and intelligent capabilities, the ATINY laser seam tracking system meets the demands of various welding scenarios, enhancing production stability and reliability. Advantages of Laser Seam Tracking Systems Laser seam tracking systems use laser sensors to scan the weld seam in real time. Combined with advanced image processing algorithms, they accurately identify weld seam shapes, positions, and deviations, guiding the welding torch for automatic adjustments to achieve high-precision welding. Compared to traditional welding methods, laser seam tracking systems offer the following advantages: 1. Compatibility with Various Welding Processes Laser seam tracking systems can be adapted to various welding processes, including MIG/MAG welding, TIG welding, plasma welding, and laser welding. Whether for thin or thick plates, the system detects weld seam positions in real time and guides the welding torch with precision, ensuring consistent weld quality. 2. Handling Complex Workpieces to Improve Automation In industries such as automotive manufacturing, shipbuilding, and construction machinery, workpieces often have complex shapes, making it difficult to accurately locate weld seams. The high-precision laser sensor in the system scans weld seams in real time, enabling stable tracking even for curved or corner welds, minimizing the need for manual intervention. 3. Adaptability to Different Materials for Quality Assurance Different materials, such as stainless steel, aluminum alloys, and carbon steel, have unique welding characteristics, including varying molten pool properties and heat input requirements. By optimizing parameters, the laser seam tracking system adapts to different material needs, reducing welding defects and ensuring high-quality weld formation. 4. Real-Time Error Compensation for Enhanced