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分類: Edge AI

With the growing reliance on Generative AI and Large Language Models (LLMs) across industries, organizations are increasingly focusing on secure, high-performance, and cost-effective AI solutions. However, centralizing LLM training and inferencing in the cloud introduces challenges, including data privacy risks, high transmission costs, latency issues, and dependence on constant cloud communication. The demand for edge-based AI infrastructure is rising as enterprises seek to harness AI capabilities while maintaining control over sensitive data.

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分類: 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.

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分類: Network Computing

AI-driven threat detection plays a crucial role in today’s OT/IT cybersecurity. These network security measures are capable of rapidly processing large datasets in order to detect patterns and anomalies that indicate potential security breaches. Machine learning algorithms, for instance,  can spot unusual traffic patterns that point to a likely DDoS attack.

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分類: Edge AI

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.

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分類: Network Computing

A mid-sized construction company was having a tough time dealing with several cybersecurity challenges in spite of their existing security measures, one of these challenges was keeping up with the volume of security alerts generated by their security tools, not to mention the existing network security team and measures lacked the experience and expertise in dealing with the more sophisticated threats. They found Lanner while seeking for a robust hardware solution on which an AI-enhanced managed detection and response (MDR) service can be built for enabling advanced threat detection, continuous monitoring and real-time response capabilities.

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分類: Edge AI

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.

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分類: Telecommunication

Businesses today face significant challenges in enhancing customer experiences while having to minimize their total cost of ownership (TCO). Such challenges bring about the need for innovative solutions that not only ensure security but also improve service efficiency as traditional IT infrastructures often struggle to keep up with the demands of modern, customer-facing applications. These   requirements are driving a shift towards edge AI, where processing occurs closer to the data source, in real-time, with reduced latency and enhanced privacy.

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