GTPL’s Machine Vision system team have implemented many complex applications in the Industrial sector. As the technology continues to evolve, can expect to see even more innovative applications from our end in the industrial sector.
Machine vision systems can be used to train machine learning models to inspect products or materials, improving inspection accuracy and efficiency over time.
Machine vision systems can be used to inspect products on the production line, detecting defects and anomalies in real-time.
Machine vision systems can be used to inspect electronic components, such as PCBs, ICs, or displays, for defects or anomalies.
Machine vision systems can be used to guide robots to perform tasks such as pick-and-place, assembly, or welding.
Machine vision systems can be used to recognize and classify objects, such as products, components, or packaging, to ensure correct assembly or packaging.
Machine vision systems can be used to read barcodes, QR codes, or other machine-readable codes to track products, components, or inventory.
Machine vision systems can be used to inspect and measure products, components, or materials, such as dimension, shape, color, or texture.
Machine vision systems can be used to tend machines, such as CNC machines or 3D printers, to ensure correct operation and product quality.
Machine vision systems can be used to monitor and control industrial processes, such as temperature, pressure, or flow rate.
Machine vision systems can be used to detect defects, such as cracks, dents, or corrosion, in products or materials.
Machine vision systems can be used to inspect surfaces, such as metal, plastic, or glass, for defects, scratches, or contamination.
Machine vision systems can be used to inspect 3D objects, such as parts, components, or products, for defects, dimensions, or shape.
Machine vision systems can be used to inspect colours, such as paint, coatings, or dyes, for correctness, consistency, or quality.
Machine vision systems can be used to inspect textures, such as roughness, smoothness, or pattern, of products or materials.
Machine vision systems can be used to recognize patterns, such as shapes, logos, or labels, on products or materials.
