Edge AI

 

Lanner has deployed its Edge AI appliances, the LEC-2290E and EAI-I731, at its manufacturing facility in Taipei, Taiwan, to upgrade the Automated Optical Inspection (AOI) system on its Surface Mount Technology (SMT) production line.

AI-powered computer vision is revolutionizing safety in manufacturing by enabling real-time detection of hazardous situations. These advanced systems offer unparalleled vigilance, ensuring proper PPE usage and monitoring complex interactions between workers, machinery, and vehicles. As AI technology continues to evolve, these systems will become even more accurate and adaptable, identifying subtle signs of danger before accidents occur.

Ensuring the safety of students and staff in schools has become increasingly challenging. Despite the presence of surveillance cameras, the sheer volume of footage makes it impractical for staff to manually review all video to identify incidents or suspicious activities. Immediate threats like on-campus conflicts, vandalism, and unauthorized access require quick, effective responses.

In conventional retail settings, manual checkout processes often lead to long queues, resulting in reduced overall store efficiency and frustrated customers experiencing decreased satisfaction. Additionally, traditional checkout methods may be prone to errors and inefficiencies, further exacerbating the shopping experience.

Domain-specific Large Vision Models (LVMs) represent a critical innovation in artificial intelligence, providing tailored solutions to meet the distinct needs of various industries. Utilizing deep learning to process and interpret extensive visual data, these models offer insights that can significantly enhance operations, decision-making, and unlock new possibilities. Focused on specific fields like healthcare or manufacturing, LVMs surpass general-purpose models by learning from large, specific datasets, detecting complex visual patterns that broader models may miss.

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.

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.

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