In the operation of automated filling machines, integrating a vision inspection system is a key measure to improve the identification rate of filling defects and ensure product quality. The vision inspection system, based on machine vision technology, converts targets into image signals through image acquisition devices. These signals are then processed and analyzed by a dedicated image processing system to extract target features and control the actions of on-site equipment based on the results, thereby achieving comprehensive and high-precision quality monitoring of the filling process.
The application of vision inspection systems in the filling stage is primarily reflected in the rigorous inspection of preforms. Preform inspection equipment is installed before the blow molding machine, using multiple high-resolution cameras to comprehensively inspect the mouth, shoulder, and bottom of the preforms. Cameras positioned at specific angles can accurately capture defects such as burrs, chips, black spots, dirt on the bottle wall, and defects such as dimensional deviations in the bottle shoulder and uneven thickness of the seam. This comprehensive, blind-spot-free inspection method ensures the quality of preforms entering the subsequent filling process, reducing filling defects caused by preform problems at the source.
After filling, full-bottle inspection equipment plays a crucial role. Placed after the filling machine, it meticulously inspects key processes such as capping, liquid level, and coding. In capping inspection, multiple high-resolution cameras and a scientifically arranged light source are used to conduct a comprehensive inspection of the cap from different angles, enabling the timely detection of defects such as broken safety rings, missing PET rings, high caps, and crooked caps. Liquid level detection effectively compensates for the interference of foam by combining front and backlighting, greatly improving the accuracy of liquid level detection for foamy beverages and ensuring that the filling volume of each bottle meets standards. In the coding inspection stage, high-speed cameras and specific light sources are used to not only detect common coding defects but also accurately identify the coding content, preventing errors.
Label inspection is also a crucial part of the vision inspection system integrated into the filling machine. A label inspection device is set up after the labeling machine, employing a unique optical scheme with multiple high-resolution cameras spaced around the product to perform 360-degree, blind-spot-free label inspection. By combining top and bottom lighting, uniform brightness is ensured in the label area, enabling precise detection of numerous label defects such as missing labels, incorrect labels, inverted labels, misaligned labels, tilted labels, printing errors, damage, and curled corners, ensuring accurate product label information and an aesthetically pleasing appearance.
Packaging inspection, as the final quality checkpoint on the production line, also relies heavily on a vision inspection system. After packaging and before palletizing, packaging inspection equipment is installed. An online checkweigher measures the product weight and compares it to a preset value to determine if any parts or products are missing from the packaging. This equipment is integrated with the packaging production line and conveyor line, consisting of a flexible equidistant conveyor, checkweigher, rejection system, and control system. It efficiently and accurately completes inspection tasks and automatically rejects defective products, ensuring the integrity of outgoing products.
The high integration of the vision inspection system requires the coordinated operation of hardware and software. On the hardware side, appropriate cameras, light sources, and lenses must be selected according to the inspection requirements to ensure the quality and accuracy of image acquisition. On the software side, emphasis should be placed on the development and optimization of image processing algorithms. Continuously improving the accuracy and stability of these algorithms through technologies such as deep learning will enable them to adapt to complex and ever-changing detection scenarios. Simultaneously, the system must possess a user-friendly interface, facilitating parameter settings, result viewing, and troubleshooting for operators.
By integrating a vision inspection system into automated packaging filling machines, end-to-end quality control is achieved, encompassing preform inspection, full-bottle inspection, label inspection, and carton inspection. This significantly improves the filling defect detection rate, reduces errors and oversights from manual inspection, and enhances production efficiency and product quality stability, giving the company a competitive edge in the fierce market.
