One of the biggest challenges facing today’s textile industry is the fact that it for the most part still relies on human vision and manual inspection for defect detection, meaning the industry not only operates on thin margins but also has a considerably high defect rate.
Read more: EAI-I130: Bringing AI And Machine Learning To The Next-gen Textile Production
A few extensive warehouse facilities are already using some sort of automation, especially Autonomous Mobile Robots (AMRs), to help them stay ahead in their industry. But AMRs don’t come without challenges, especially when deploying them indoors in closed spaces. AMRs need to respond in real-time; they need to be able to make decisions on the go.
Read more: AMRs with Embedded GPU Computing Bring Logistics 4.0 Benefits to Large Scale Warehouses
Autonomous lawn mowers are designed to reduce lawn maintenance labor costs and time. But an inefficient or improperly programmed or operated robotic lawn mower would defeat the whole purpose of “autonomy.” An unproductive and unsafe robot will turn a gardener into a programmer, taking away the focus on what matters: the grass.
Read more: Highly Efficient Edge AI for Commercial Autonomous Mowing
Product inspection and defect-detection solutions within smart factories leverage visual inspection technology based on computer vision and deep learning. With the help of visual inspection systems collecting imaging data and feeding it into an inference engine, deep learning algorithms can help differentiate between different products, their parts, and specific characteristics and spot any anomalies. The visual inspection technology running on an appliance can imitate human eyes scanning products at an assembly line.
Read more: Machine Vision AI Appliances for Factory Product Inspection
The growing demand for AI machine vision can be found in fast supply-chain processes, and one such application is the unloading of boxes from pallets, or depalletization.
A system integrator specializing in delivering smart solutions for supply chain management came to Lanner in search of a hardware solution that could be relied upon for automating most of the arduous tasks involved in depalleting, so that an end customer in the logistics industry can increase their productivity, throughput and also save costs.
Read more: LEC-2290E: Enabling AI 3D Machine Vision For Intelligent Depalletization
IoT and IIoT technology deployment using edge sensors and devices succeeded in making Smart Farming possible. Techniques and knowledge are now available to those wishing to implement industrial automation that guarantees excellent results in the agriculture business, or in this case, indoor orchids cultivation.
Read more: Cultivating Orchids Indoors Using Edge AI Video Analytics Solutions
Detecting flaws by employing machine vision systems is commonplace across a wide range of industries, including semiconductors, pharmaceuticals and automotive manufacturing, because machine vision systems not only lay bare all contamination, scratches, cracks, blemishes, discoloration, gaps and other imperfections undetectable by human vision, they also make available faster TTM and better resource optimization while at the same time lowering both the cost of ownership and the product fail rates.
Read more: Improving Flaw Detection with Machine Vision Systems