A well-established leader in the foods and beverages industry was in search of an AI-powered industrial automation edge computing solution that could be relied upon for managing their wide range of foods and beverages products; with a growing customer base and increasing product demand, this company decided that streamlining the distribution process and optimizing operational efficiency were of the upmost importance if they were to meet market expectations.

AI-powered machine vision inspection is crucial for smart factories to ensure efficient production processes and maintain high product quality, as modern factories generate vast amounts of visual data from sensors and cameras deployed throughout the production floor. Transmitting this data to a centralized cloud for AI training and inferencing can strain network bandwidth, lead to delays, and raise concerns about data security.

In modern manufacturing, quality control is crucial for product excellence and cost reduction. Traditional methods encounter efficiency and adaptability challenges. Portable AI vision systems, fueled by edge AI computing and advanced computer vision, provide a streamlined and accurate solution, optimizing inspections in diverse industries.

Rail Obstacle Detection refers to the process of alerting railway operators about obstacles or obstructions present on the railway tracks. These obstacles can range from debris and fallen branches to unauthorized vehicles or individuals trespassing on the tracks.

We will be reviewing a machine vision system for light rail collision avoidance. This solution allows a light rail to avoid unexpected obstacles down the rail and reduce the chances of a collision. It uses an onboard industrial-grade edge AI appliance EAI-I130 provided by Lanner, capable of running MV models onboard. This appliance brings machine vision capabilities as close as possible to the light rail, allowing data captured by sensors to be processed right on-site.

Continuous surging growth in urban populations creates a demand for urban mobility, a greater demand for faster traffic flow, improved public safety, and more innovative transportation. A good urban traffic management network will not only improve traffic safety and boost local economies, but it will also improve public health and protect the environment.

In the wake of the COVID-19 pandemic, many industries have faced the challenge of adapting to hybrid work environments, including sectors that rely heavily on data-intensive operations. Among these, the video game development industry stands out due to its need for handling large, latency-sensitive files and its requirements for high bandwidth.

페이지 2 / 전체 49