Utilizes multi-modal (2D, 3D cameras + Laser radar) combined with proprietary AI algorithms. This replaces the “human eye”, “human brain”, and “human hand” for tasks such as detection, measurement, analysis, judgment, decision-making, and control, ultimately achieving fully automated operations with minimal human involvement.
Capable of inspecting the surface quality of various materials, such as cast billets, hot rolls, cold rolls, ultra-thin plates, special bars, profiles, belts, and tobacco. Through advanced visual perception technology, it can accurately identify defects and flaws on the material surfaces, ensuring product quality meets standards.
Leveraging video counters enables accurate counting of various items. For example, counting the number of cast billets or round steel, tallying cigarette quantities, and applying rebar counting and separation systems effectively improved production efficiency and management precision.
With the assistance of video particle size analyzers and foam analyzers (flotation and reverse flotation), it can precisely measure the surface area of different objects. Additionally, it can be used for the volume detection of cast billets and slabs, providing accurate data support for material calculation and quality control during the production process.
With video technology, accurate length and width measurements can be achieved in various scenarios. For instance, in video fixed-length cutting applications, ensuring the precision of cutting dimensions; measuring the length and width of continuous casting billets and the cross-sectional area of cast billets, providing key size data for subsequent processing and production.
Possesses powerful OCR recognition capabilities and can be widely applied in various character recognition scenarios. For example, license plate recognition, billet number and coil number recognition, high-line PF hook number recognition, and character recognition on packaging (milk, cigarette boxes), improving the informatization and automation level of production management.
Accurately measures the speed of objects through video technology. For example, in vehicle speed detection via video, ensuring that vehicle speeds comply with regulations; detecting belt speed (stalling, slipping) to promptly identify and resolve issues during belt operation, ensuring the stable running of production lines.
Enables precise positioning and detection of various features. This includes video positioning, video centering, video displacement, as well as visual behavior and hazardous area detection. For example, detecting the status of sintering trolleys and implementing unmanned AI automatic chain beds at the rear of cooling beds. Through accurate feature positioning, it enhances the automation and safety of the production process.
Utilizes thermal imaging technology to achieve temperature measurement and analysis in various scenarios. For example, converting video grayscale to temperature, applied in furnace top TVs, tuyere TVs, and rotary kiln temperature monitoring; detecting slagging by detecting temperature changes; analyzing the temperature field distribution (cast billet temperature analysis) to provide a basis for temperature control during steel production; measuring flame temperatures, detecting slagging in converters, measuring tuyere thermal imaging temperatures, analyzing the red combustion layer at the tail of sintering machines, and implementing AI recognition systems for the risk of iron ladle number and tank body leakage detection, ensuring the safety and stability of the production process.
Combined with artificial intelligence visual large model technology, a series of intelligent applications have been developed. For example, intelligent patrol robots for blast furnace tuyere platforms can patrol autonomously, promptly identifying equipment failures and safety hazards; patrol robots for distribution rooms and substations improve patrol efficiency and accuracy and reduce the risks associated with manual patrols.
