Conventional machine vision systems can accurately calculate quantities of drugs and vials but lack flexibility and adaptability for certain error scenarios, unlike Cognex Deep Learning. Capabilities extend further than counting, encompassing misaligned, reversed, or color-confused containers, thereby improving Overall Equipment Effectiveness (OEE). Component location tools train with containers orientated towards various directions, resulting in consistent recognition across all possibilities, generating reliable counting methodologies considering peripheral distortions simultaneously.

Teledyne DALSA's Sherlock machine vision inspection software and multiple industrial cameras can be used for real-time online inspection of glass bottles to remove bottles with bubbles.

1. Customized inspection requirements for different processes
2. Precise quality judgment and classification of inspection results
3. Inspection of product defect distribution map and individual defect features
4. High-speed, non-contact, 3D/2D surface morphology measurement

Cognex AI technology combined with High Dynamic Range Plus (HDR+) technology offers an ideal solution for particle material detection. The Cognex AI solution trains using diverse microparticle substance types found inside pills and pill containers, accounting for varying shapes and sizes, whether air bubbles are present, and incorporates reflections and refractions seen through glass bottles and container windows. As a result, it effectively detects particles even under complex lighting conditions.

Cognex's deep learning design has the ability to distinguish real defects from acceptable coating irregularities, addressing these complex detection challenges. Defect detection tools undergo extensive training involving different classes of glass bottles and multiple angles to thoroughly learn normal component variations, including the acceptable range of coating defects. Then, when analyzing drug bottles, they scan, evaluate, and label features outside the accepted range, all while minimizing false reports caused by coating defects.

1. Utilizes AOI optical inspection system to quickly and accurately check preforms for defects.
2. Data learning technology adapts to various preform inspection requirements.
3. Precise inspection quickly removes defective preforms to improve production efficiency.
4. Compact footprint effectively saves space.

The machine can quickly inspect cups and check for defects. It has four stations to inspect the right side, left side, bottom, and mouth of the cups to ensure their integrity.

Cognex Deep Learning is the ideal solution for detecting small defects on the necks of glass bottles. It is trained on a set of images of acceptable glass container necks. The defect detection tool can then identify anomalies such as nicks, inclusions, and cracks, while accepting a wide variety of potential glass neck appearances.

Gradient glass bottles are all subjected to a sandblasting process to create a frosted finish. Common defect types during the manufacturing process are uneven color or black spots on the bottle body. These defects are difficult to detect using the automatic optical inspection (AOI) method because they cannot be clearly defined and their patterns are not fixed.Combining machine vision and artificial intelligence, Solomon uses SolVision to train AI models with glass bottle defect images. By using Segmentation technology to find and learn the feature conditions of defect images, after taking images of the bottle from all angles, the trained AI model can quickly detect the defect distribution of the glass bottle body from all angles and mark the defect locations.

1. Full color/multi-spectral scanning (RGB CCD sensor), wide range of defect detection
2. Multiple flash exposure technology, can simultaneously detect defects under different light sources
3. Module linearity calibration (CCD), can effectively detect wide range of color difference defects
4. Defect stitching is available to inspect large-sized defects
5. Integrated encoder, can output defect map

1. Extensive experience in inspection of various sizes and products in the industry
2. Can be planned according to various needs such as buffer zone, cassette, manual inspection station, drawer, overhead conveyor, scrap car, etc.
3. Flexible software design to meet customer operation habits
4. Statistical data can be uploaded to the factory manufacturing system or directly output as a report
5. Complete education and training and technical support service system

1. Regarding cell slicing cross-section measurement, cameras are set up on both sides of the roller conveyor. When the conveyor clamps are positioned, images are simultaneously captured. The images will then be measured, and the measurement information will be stored in the designated format in the inspection computer.
2. Hardware modification scope: The imaging module is fixed on the positioning slide and moves synchronously with it, so that no adjustment of the imaging module is required after changing the product size.
3. Measurement range: The vertical surface of the cut cross-section is photographed, and the blade groove depth is measured within the imaging range.

The system can detect defects such as line defects, area defects, foreign objects, scratches, and blisters. It also provides intelligent inspection data statistics, non-conforming product analysis, report output, and support for remote calibration management.

1. Perfect detection function: The AOI glass shard online inspection system has CCD glass vision online inspection function, which is specially used to detect common defects such as glass shards, chipping and cracking that occur during the production of various glasses, to ensure product quality.
2. Real-time defect detection: The system can timely detect the defect information on the surface of the product during the production process, reflect the defect information on the surface of the production line at all times, master the product quality status at any time, and adjust the production process in time.
3. Completely replace human eye inspection: The system completely replaces human eye for surface inspection, which greatly saves labor cost, improves the accuracy and efficiency of inspection, and makes the production line run more smoothly.
4. Save production cost and improve quality: The system not only saves production cost, but also improves product quality, which can improve customer satisfaction and market competitiveness!！

1. Prediction accuracy > 95%
2. False positive rate < 5%
3. Detect 100 images within 60 seconds (including download, preprocessing, prediction and upload)