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.

Implementation of Cognex Deep Learning proves effective in solving applications of this nature. Component positioning tools easily handle complex vaccine assembly tests, e.g., items placed in varied directions, overlapping, missing, or containing different combinations of SKUs. After training a deep learning system from multiple angles to recognize assembled components and discriminate between existing and newly introduced ones (even visually alike counterparts), successful identification becomes effortless.

1. Full Chinese operation interface
2. Applicable to various shapes of tablets
3. Statistical functions (total inspected/qualified/defective quantities)
4. Defective image storage and classification
5. Ability to adjust settings during inspection
6. Complete rejection mechanism planning (low/medium/high speed, contact/non-contact type)

Deep learning streamlines tasks involving automatic positioning, identification, and classification within a single image's multiple characteristics. Depending on various item dimensions, shapes, and surface attributes, the system discerns and groups distinctive features accordingly. Users can train assembly positioning and verification tools to find desired items. Afterward, the picture gets segmented into separate sections, allowing the tool to assess the presence of the required item and validate its kind, regardless of orientation and lighting settings. Furthermore, deep learning finds and identifies flyers inside boxes, averting recalls and assuring patient safety.

Matrox DA software enables real-time positioning on the production line, allowing for a variety of related inspection applications, including appearance and dimensional measurement, hole detection, hole size inspection, and product counting.

1. Full Chinese operation interface
2. Quick adjustment page for product fine-tuning
3. Statistical functions (total inspected/qualified/defective quantities)
4. Defective image storage and classification
5. Ability to adjust settings during inspection
6. Complete rejection mechanism planning (low/medium/high speed, contact/non-contact type)
7. Equipment can process up to 1200 pcs/minute at maximum speed

1. The system uses three Allied Vision Guppy F-146B cameras to inspect IC wire bonding.
2. The system can count the number of wire bonds, measure their height, and detect any breaks.

Cognex's In-Sight 9912 Visual System delivers automated solutions for each box complete with distinct labels, such as emblems, names, or numerical codes. Once cargo arrives near the camera, In-Sight 9912 utilizes PatMax object localization technology, instantly spotlighting selected marks or motifs prior to computing quantities contained therein. Its expansive field of view and optical arrangement make it ideally suited for massive crates and distant checkpoints. Displaying results on tablet computers or laptops, flatscreen monitors, or web-based HMIs empowers operators to review examination outcomes.

1. Full Chinese operation interface
2. Quick adjustment page for product fine-tuning
3. Statistical functions (total inspected/qualified/defective quantities)
4. Defective image storage and classification
5. Ability to adjust settings during inspection
6. Complete rejection mechanism planning (low/medium/high speed, contact/non-contact type)
7. Equipment can process up to 1200 pcs/minute at maximum speed

Cognex's VisionPro software provides a fast and accurate way to count Mini LEDs before packaging. Operators can easily train the software to identify, locate and count patterns of extremely small LED die. The pattern counting tool looks for grayscale pixel value patterns defined by features. Regardless of how pixel intensities vary between images, it can quickly and accurately find the patterns. Each time it runs, it can locate and identify thousands of die, even patterns as small as 4x4 pixels. The control system stores manufacturing history records and results tied to barcoded labels on finished packages.

Many modern 3D vision solutions offer simple and easy-to-use blob, volume, and edge detection tools to solve complex food inspection applications. The In-Sight 3D-L4000 smart camera, combined with Cognex In-Sight software, streamlines the process and makes these tools easy to use in a familiar spreadsheet format. The In-Sight 3D-L4000 offers the highest quality 2K resolution and a patented, no-spot blue laser optical configuration that generates more accurate 3D point clouds for inline measurements. Because the In-Sight 3D-L4000 can generate a complete 3D point cloud, rather than just a height map above the surface, it can more accurately apply 3D blob tools to identify different, but touching, objects, such as cookies in a container. The In-Sight 3D-L4000 also offers a variety of true 3D algorithms for volume measurements, such as the distance between cylinders.

Cognex Deep Learning calculates the number of mouthpieces housed within large shipping cartons entirely, tackling this demanding application head-on. Merging positional instruments located overhead with million-pixel cameras and parallel placements of strong external linear lights, this approach counts transport containers holding over four thousand mouthpieces. Trained using a modest group of sample images, Cognex Deep Learning distinguishes among various mouthpiece defect categories, including white carbon, activated charcoal, concave structures, and others, ensuring accurate enumeration regardless of mouthpiece dimension, hue, or form.

1. Built-in special lens and light source
2. Full Chinese operation interface
3. Quick adjustment page for product fine-tuning
4. Statistical functions (total inspected/qualified/defective quantities)
5. Defective image storage and classification
6. Ability to adjust settings during inspection
7. Complete rejection mechanism planning (low/medium/high speed, contact/non-contact type)
8. The equipment can handle up to 1000pcs/minute at the fastest

1. Fully Chinese one-to-many operation interface
2. One-to-many screen micro-adjustment quick page
3. Independent statistical functions for each screen (total inspected/qualified/defective quantities)
4. Independent defective image storage and classification for each screen
5. Ability to adjust settings during inspection
6. Complete rejection mechanism planning (low/medium/high speed, contact/non-contact type)
7. Equipment can process up to 800 pcs/minute at maximum speed
8. Separate independent mechanisms for each station

In addition to solving the original packaging direction and counting problems of the manufacturer, this vision inspection system also identifies many other errors, including: juice box skew, missing, crushed, dropped, rotated or redundant, missing products after whole box packaging , inverted or inverted, damaged labels, etc.