Case study samples
AIS Technologies Group takes pride in developing innovative, industry-leading technologies and sharing select case studies that demonstrate our capabilities. From patented thermal inspection solutions to process verification systems used to confirm critical product characteristics, these inspection technologies and advanced process methods have helped AISTG consistently raise the standard for automation and quality across the industries we serve.
Specialty
Chainsaw chain defect detection
Vision inspection
Quality assurance
Production error proofing
Assembly verification
Vision integration
The chain on a chainsaw must undergo intense force during operation, so it essential that each chain meets the highest quality standards. Through the use of AIS Technologies Group vision system integration, a vision inspection system consisting of 2D cameras and 3D scanners was designed to perform a total of 26 inspections on 4 main features on each link of a chain – including the tie strap, cutter, BDL, and rivet features. Inspections are completed 5 links at a time, and inspection data is reported back on what was found for each chain link into an array of results which is then inspected for the correct sequence of features as well as the presence of any production errors. Only those chains that meet preexisting quality tolerances are accepted through the AIS Technologies Group vision inspection system, allowing for a reduction in costly production errors.
Agriculture
Vegetable identification and counting
Vision inspection
Quality assurance
Object counting
Deep learning
Object identification
Vision integration
Vegetable manufacturers and processors often maintain a wide range of products including fresh, frozen, prepared, or canned vegetables that must be strictly inspected, identified, and counted. Through the use of AIS Technologies Group vision system integration, a vision inspection system consisting of a camera and ViDi Deep Learning software was designed to perform a vegetable identification and count for a random set of mixed vegetables, providing the name of each vegetable and the associated count within the set. Additionally, the system was designed for quality inspection to sort only properly processed vegetables from any undesirable items. In a matter of seconds, various vegetables are identified, counted, and only those that meet preexisting quality tolerances are accepted through the vision inspection system, allowing for an increase in production quality.
Agriculture
Cucumber consistency inspection
Vision inspection
Quality assurance
Vision integration
Deep learning
Production error proofing
Cucumbers come in many shapes and sizes, but it is increasingly important in the food industry to produce products that are indistinguishable from one another to promote a sense of perfection. Any products that are damaged, misshapen, or over/underripe present issues that result in consumer dissatisfaction if not immediately recognized. AIS Technologies Group developed a vision inspection system consisting of a camera, laser, and deep learning software to inspect for the correct size, shape, color, and texture of cucumbers on a manufacturing line. Only those products that meet the predetermined characteristics are accepted through the AIS Technologies Group vision inspection system, allowing for an increase in consumer satisfaction and quality through decreased production issues.
Automotive
Chip detection in machined parts
Vision inspection
Object detection
Vision integration
Quality assurance
Production error proofing
During a machining process, chips or fragments are generated that can often get wedged inside channels and cavities, or even remain after a washing cycle, making them hard to detect due to the potentially small size and how deep they are in the cavities. Chips can be a root cause for premature product failure and are a major concern for product recalls. AIS Technologies Group developed a patented technology using a vision inspection system consisting of a heat gun and a thermal imaging camera to perform a chip detection for various machined parts. Using thermal radiation, even the smallest and deepest chips can be detected through the system, allowing for an increase in production quality and a decrease in product failure and recalls.
Food & beverage
Donut consistency inspection
Vision inspection
Quality assurance
Vision integration
Deep learning
Production error proofing
Donuts come in many shapes and sizes, but it is increasingly important in the food industry to produce products that are indistinguishable from one another to promote a sense of perfection. Any products that are damaged, misshapen, or over/undercooked present issues that result in consumer dissatisfaction if not immediately recognized. AIS Technologies Group developed a vision inspection system consisting of a camera, laser, and deep learning software to inspect for the correct size, shape, color, and texture of donuts on a manufacturing line. Only those products that meet the predetermined characteristics are accepted through the inspection system, allowing for an increase in consumer satisfaction and quality through decreased production issues.
