The LIPSMetric Pallet Dimensioner Camera Kit is a large goods measurement solution designed to handle both cubic and non-cubic pallets, as well as large objects. It outlines object dimensions even in low-light warehouse conditions, offering exceptional versatility and functionality.

The LIPSMetric Static Dimensioner is a robust 3D Camera Dimension Measurement solution renowned for its exceptional speed and accuracy. It excels in measuring both cubic and uniquely shaped objects, including flat components as thin as 5 cm, very round, and very long objects.

The LIPSMetric Handheld Dimensioner is a versatile mobile device solution for real-time measurement of cargo dimensions, volume, and cubic content. This handheld camera integrates seamlessly into existing technology such as Tablets, PDAs, and Scanners, fitting neatly in existing housings.

Anyline's Tire Tread Scanner uses AI and computer vision to accurately measure tire tread depth. This first-of-its-kind mobile solution is highly adaptable for workforce or consumer applications and can be integrated via an API. The scanner works with various tires of passenger and commercial vehicles. It provides reliable results in seconds and allows easy data integration into existing workflows. It enhances safety by reducing compliance risks and preventing fraud through objectivity in measurement.

PhotoGAUGE, an innovative end-to-end solution, simplifies window measurement by using a mobile phone's video capturing feature. Creating a direct link between on-site measurement and manufacturing, it promotes accuracy and reduces errors. Customizable workflows cater to project-specific needs while dynamic dashboards offer insights and foster team collaboration. Committed to simplifying processes, PhotoGAUGE accelerates the transition from sales quotes to manufacturing from weeks to mere days.

The In-Sight 3D-L4000's unique optical scanning engine also offers several advantages over other competing solutions, including eye-safe operation, while providing more light to the surface to increase throughput, providing more accurate 3D point clouds for measurement values, and even 100% of the In-Sight 3D-L4000's field of view can be measured even if debris blocks 50% of the laser.

1. Web-based architecture, allowing multiple users to log in remotely through the domain
2. Integrate and store a large amount of defect data and images detected by AOI equipment, which can be used for production history statistical analysis, real-time monitoring of online AOI equipment defect detection status, defect photo viewing, product defect Map overlay and defect type judgment Code and other functions
3. Can be combined with AI for big data analysis and feedback to production equipment to issue warnings for production anomalies

Cognex In-Sight® vision systems are used for tire assembly inspection, which is typically done by clicking a few times to set up the vision system to inspect the entire tire skin as the roller rotates to combine all the assembly layers. The rugged industrial design of the vision system allows it to perform precise and accurate measurement tasks regardless of the factory production environment.

1. When imaging, the laser light is projected onto the wheel in a uniform line to ensure that the image has a constant brightness.
2. To ensure that the camera receives enough laser light, a high exposure time is required. This can easily lead to stray light from the environment being mixed into the image, but Matrox MIL can effectively remove noise from the image and extract the necessary details.
3. Handheld high-precision instrument testing has shown that TreadVIEW can achieve an accuracy of 0.5mm on moving vehicles, with a single image inspection time of approximately 0.5-1 seconds. In terms of specific implementation data, if ±0.5mm measurements can be made within a ±10mm field of view, the system will be able to accurately recommend whether immediate or future remedial action is needed.

Automatic inspection of external defects and dimensions of Chinese herbal pills, Chinese herbal tablets, health pills, etc., such as shape, damage, cracks, color difference, foreign objects, stains, etc., with high-precision screening requirements

Tablet and capsule inspection and screening machine can automatically and accurately detect tablets, capsules, hard capsules, soft capsules, etc. With simple settings, you can easily and accurately inspect various shapes, colors, foreign objects, stains and other external defects.

Using industrial cameras and computer vision inspection, the dashboard is measured for height.

SSI Sprocket Series is a continuous image screening machine that is suitable for products that can be hung and have a head diameter greater than 3mm than the rod diameter.

1. Cognex Deep Learning is ideal for the complex task of finding and picking good nuts that are oriented correctly and placing them on chocolate.
2. The classification tool is trained on a set of images of good and bad nuts. The tool can quickly classify nuts into acceptable and unacceptable categories.
3. The part location tool is trained on a set of images of good nuts that are oriented correctly. It can then locate the nuts as they pass by, regardless of the number of nuts present at the same time.
4. Combining these tools ensures that good nuts are identified and located so that they can be picked and placed on the chocolate by a robotic arm. Manual inspection or other forms of machine vision cannot achieve the same speed and accuracy for this task.

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

Semi-automatic inspection equipment, fully automatic discharge, high-speed and high-precision detection, precise defect marking, authority management, size confirmation, appearance inspection, intelligent inspection data statistics, non-conforming product analysis, report output, support for remote calibration management

SCI series is a continuous screw cap optical image screening machine

RGI Double-Sided Series uses conveyor belt flipping or double glass disc inspection to simultaneously inspect double-sided defects, but defects may not be screened out due to refraction or dirt through the glass.

Four AVT Prosilica GC1290C cameras are used to inspect raisins and sort them by appearance and size before packing them in boxes.

1. ProVision Vision System combines visual measurement and automation to enable large-scale production.
2. The system uses five Dalsa line scan cameras to process an area of up to 21” x 25” with a resolution of 5um/pixel. It can inspect and measure over 60 different electronic components on a PCB board per second.
3. When the image is first acquired, each camera will first locate a reference point and measure the overall grayscale value of the PCB to facilitate subsequent image binarization and size measurement. The image analysis and processing can all be done through the computing power of the Matrox image card to reduce the processing on the PC.

Utilizing the powerful yet compact In-Sight 8505P Imaging System, perform measurements for all dimensions of syringes. Equipped with High Dynamic Range Plus (HDR+) technology, In-Sight 8505P addresses complications stemming from glass reflection and refraction, as well as plunger stoppers and liquids. This imaging technique reduces lens flare and image noise, improves edge contrast, increases dimensional precision, and maintains short exposure times. The key distinction between HDR+ and standard HDR involves capturing single exposures of moving components at speed, whereas standard HDR requires static components and collecting multiple images for comparable results.

The system is able to first take pictures of the parts, and then create a model (Golden sample) based on them. Then, it can use this as a reference to identify and align the same parts, and at the same time perform dimensional measurements. The parts that are inspected and measured can be used for assembly; the abnormal ones are first sent back to the parts storage area.

High-precision PIN inspection machine designed specifically for PINs, fine inspection, to ensure product quality

1. Solder paste inspection: Machine vision can inspect for slump, cleaning, bridging, and spikes. It can also be used to visually inspect solder paste location and shape to close the loop control of PCB screen printing process.
2. Surface mount device inspection: Machine vision can inspect for lead length, width, spacing, bend, lead presence, chip size, and ball location, size, and spacing.
3. Automated optical inspection (AOI): When visually testing assembled circuit boards, AOI inspects component placement and checks for missing, reversed, or incorrect components.

1. Flaw detection for various sizes of polarizing plates, brightness films, light guide plates or color filters
2. Detection of various defects, such as foreign objects, creases, indentations, PVA patterns, etc.
3. Three-part mobile inspection, using multiple angles, different light sources and multi-directional methods for measurement
4. CCD can choose different resolutions according to pixel and pitch size, as a judgment for defect measurement
5. Linear and area cameras can be selected for mixed detection of different defects and different accuracies
6. Integrated and customized design to reduce unnecessary adjustment and development costs
7. Can be integrated with production history, scan barcode to link work orders and serial numbers, and complete traceability system with customized database

NGI Glass Disc Series is a series of glass disc inspection machines that use the light transmission properties of glass to automatically detect defects on both the top and bottom of the glass disc.

1. Real-time autofocus
2. Real-time image stabilization function
3. Smart measurement function
4. Comprehensive observation of bright field and DIC
5. Ultra-long depth of field synthesis function
6. Ultra-large range puzzle
7. Image target navigation
8. AI defect target detection
9. 3D profile measurement

1. Die Bond / Wire Bond multi-layer Chip stacking measurement and inspection can be used, and the AI inspection system can be used to improve the detection accuracy rate to 99.99%
2. Distance: arc height, gap between arcs, line spacing, etc., any measurement of plane or step distance
3. Abnormality: Wire deviation, ball drop, broken wire and other appearance defects

1. AI real-time detection; detection calculation speed can reach up to 50 FPS or more
2. Detection items: copper pad defects, offset, LED bonding abnormalities (chip position displacement/rotation)
3. Can support different sizes of substrates/panels according to customer needs

NCI Conveyor Belt Series is an entry-level automatic inspection machine that is ideal for budget-conscious buyers who need to inspect products for single-sided defects.

1. Ultra-high-speed AI real-time detection
2. Detection items: Chip defects, damage, dirt, scratches, missing chips
3. Post-mass transfer chip position displacement/rotation measurement
4. Can support “4~8" wafers and different sizes of panels according to customer needs

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.

Using the blob counting tool, the In-Sight 2000 sensor can detect the presence or absence of relevant liquids. When the bottle is underfilled, there will be too few blobs displayed, and when the bottle is overfilled, there will be too many. Bottles that fail the inspection will trigger the rejection function.

1. AI real-time detection on the production line, fast, accurate and time-saving
2. Chips in the tray can be detected for misplacement/tilting/dropping/stacking

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.

1. Unique AI real-time measurement and inspection solution
2. Can correspond to “8/12” Wafer/Frame form
3. Chip reset position offset/rotation measurement
4. Can support Bumping damage/Die chipping detection at the same time

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 is ideal for sorting coffee beans because it can quickly and easily identify different colors, sizes, and characteristics of coffee beans. It can be trained on a set of images of each type of coffee bean that is received in the warehouse. Even if different types of beans look very similar, the classification tool can distinguish between different types, while accepting natural variations within each type. The defect detection tool can identify any physical contaminants in a batch of coffee beans before they are sent for blending.

Adopting X/Y gantry moving platform, it can be individually or integrated with color/film thickness/OD spectrometer measurement modules, applied to the automatic precision measurement of color/film thickness/OD unevenness and abnormality after each coating process

1. Cognex Deep Learning software can perform multiple feature location and identification tasks on a single image. Cognex Deep Learning classifies and distinguishes the functional features of different chocolates based on size, shape, and surface features.
2. Users can train the location tool to locate each type of chocolate that needs to be found. Users can create a database of different types of chocolates for the location tool to locate, and then the location tool can be used to perform packaging verification.
3. After training, the image can be segmented into different regions, and the location tool will be able to detect the presence of chocolate in these regions and verify that the type of chocolate is correct. Multiple configurations can also be created for different packaging variations on a single production line. In this way, users can automate the chocolate packaging verification process with just one tool.

Machine vision solutions can measure the volume of food dispensed during product assembly to ensure food portioning. 3D displacement sensors provide highly accurate 3D volume measurements specifically designed for food portioning. 3D calibration allows manufacturers to set food portioning and cut points during processing to ensure that portions are uniform and consistent. Cognex 3D displacement sensors are factory calibrated to detect 3D food products. The Cognex 3D laser displacement sensor can scan the dimensions of individual portions to determine if the portion meets the pre-programmed specifications. Visual inspection and volume measurement can be performed after scanning.

Fully automatic inspection equipment, fully automatic loading and unloading, high-speed and high-precision inspection, precise defect marking, real-time yield statistics chart, authority management, size confirmation, appearance inspection, intelligent inspection data statistics, defect analysis, report output, support remote calibration management

The system can detect defects such as slot shape, blockage, thread skew, defects, thread major and minor diameters, pitch, screw head width, thickness, screw bending, and surface scratches. It also provides intelligent inspection data statistics, non-conforming product analysis, report output, and support for remote calibration management.

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.

Adopting high-precision optical imaging measurement modules and combining special platform and light source design can provide high-precision CD/Overlay measurement

1. AI real-time defect detection; high-speed photography, instant inspection and classification
2. Automatic linewidth/aperture measurement

1. AI real-time defect detection; high-speed photography, instant inspection and classification
2. Automatic linewidth/aperture measurement

After checking that the product level and cap position are correct, the vision system will detect the closure status to verify the seal integrity, and it will also specifically verify the presence of the tamper-evident band and the security seal. The machine vision system can detect defects and confirm the integrity of the packaging through accurate and consistent detection. The 3D laser displacement sensor ensures that the security seal covers the entire opening, there are no bubbles or wrinkles around the edge of the lid, and there are no holes or perforations. Machine vision technology can detect the edges of the security seal and measure its height, width, relative position and gap size (if any), and compare it with the pre-defined limits. Tamper-evident seals that do not meet the pre-defined limits will be rejected to reduce the risk of product recalls.

Since die bonding technology is the key to the packaging process, it has high requirements for speed and accuracy. However, the texture of the process image is very complex. Traditional optical inspection cannot use logic writing to detect defects such as angle, displacement deviation and missing, which often leads to missed detection, misjudgment and wrong positioning, which greatly affects the production efficiency of the packaging line.Using the Solomon SolVision AI image platform to enhance the reliability of displacement and angle information, accurately detect the manufacturing errors and abnormal conditions of the die bonding system. On the other hand, the AI module can also extend the learning of different chip forms and perform analysis and detection for different types of packaging products.