Smart welding systems: sensors, monitoring, auto-correction of the welding seam
Modern technologies that automate and improve welding processes in production
Despite the fact that welding is one of the key technologies in modern industry, for many years the process itself remained largely a "black box" without the ability to see what is really happening in the weld pool and quickly respond to deviations. As a result, there is a high percentage of defects, the impossibility of documenting each seam and hidden defects that make themselves felt already in the process of operation.
Today, thanks to intelligent adaptive systems, most problems can be avoided in advance. The latest technologies do not just automate processes, but become full-fledged participants in the technological chain.
Transition to smart welding systems
Smart welding systems, according to experts, can guarantee a reduction in defects from 10-15% to a fraction of a percent, an increase in productivity by 1.5-2 times, a reduction in cycles by 25-40% and, most importantly, full traceability of each seam - from the moment of welding to the final certification.
Sensors
The source of all data is sensors, which allow you to collect all available information about the welding process in real time and then analyze it through AI systems.
Machine Vision
High-speed cameras monitor the weld pool, arc and forming seam.
Laser triangulation sensors that project a laser line onto the joint. Based on its distortion, the system calculates the 3D geometry of the weld, clearances and height differences with high accuracy.
High-resolution cameras for monitoring the weld pool and arc. For example, the Russian development of NITI Progress uses a magnetic optics unit that forms an image with a frequency of 200 frames per second.
Infrared and thermal imaging cameras that record temperature and allow you to control heat input, temperature distribution in the heat-affected zone and penetration depth.
Acoustic sensors that detect the acoustic emissions of the process: porosity or spatter can be detected by the sound of the arc.
- Multimodal sensor systems, where instead of one type of sensors, several sensors are used at once (for example, camera + microphone), and their data is combined to obtain a more complete and reliable picture.
Arc sensing
A low-cost solution for manufacturing where the welding wire itself is converted into a sensor.
TouchSense: Before welding, the robot touches the wire (or nozzle) of the workpiece at the beginning and end of the weld, then a short circuit occurs and the system accurately detects the position of the part, correcting the toolpath.
- WireSense: The wire scans the surface of the part, detecting its contours and gaps (an alternative to laser scanners).
Monitoring
The next step after data collection is to process it thanks to sensors. To do this, modern systems use automatic analysis using artificial intelligence:
Real-time analysis;
Prediction and detection of defects: pores and lack of fusion, sags and deviations of the seam geometry, arc instability, incorrect position of the electrode or wire in the weld pool;
multimodal monitoring: analyzing data from different sources gives a much more reliable result;
- Data storage and archiving: The systems record all data to a local server or to the cloud, allowing for digital data sheets and audits.
Auto Weld Seam Correction
The final stage is the use of the collected data: the system not only shows a clear picture, but also changes the welding parameters in real time.
Automatic parameter adjustment: AI can instantly change current, voltage, wire feed speed or torch speed, so that the error can be corrected with an accuracy of 0.1 mm.
Independent toolpath planning: the system scans the part itself, determines all joints and generates the optimal path and welding sequence.
- Offline planning of multi-layer seams: With the help of 3D scanning, the system itself can build a groove (joint) model, calculate how much wire is needed and in what sequence to apply layers, and perform welding by adjusting the parameters for each layer.
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Forecasts and prospects
Complete autonomy: transition to systems that do not require a CAD model or a programmer operator - the robot will digitize the part, plan the weld and execute it.
Predictive analytics: AI will not only respond to current problems, but also predict the occurrence of defects based on the analysis of vibrations, temperature, and other data.
Accessibility: technology will become cheaper and more accessible to medium-sized businesses.
- Economic effect: the introduction of "smart" technologies promises a reduction in defects, an increase in productivity, a reduction in the welding cycle and a payback period of systems in 2-3 years.
The role of Weldex 2026 in the development of industrial robotics
At the Weldex 2026 International Exhibition of Welding Materials, Equipment and Technologies, conferences, round tables and practical sessions will traditionally be held as part of the business program of the exhibition, where participants will learn which welding technologies really save money and where automation pays off the fastest.




