Hanwha Vision Reveals 2025 Video Surveillance Trends

Generative Artificial Intelligence is set to transform interactions with video systems, predicts Hanwha Vision.

Hanwha Vision has announced its forecast for key trends in video surveillance for 2025, highlighting a transition towards more intelligent systems. This evolution is marked by the development of super-intelligent video surveillance that transcends simple detection to autonomous decision-making based on comprehensive analyses.

One significant trend is the advancement of edge Artificial Intelligence (AI). By enabling powerful AI capabilities within edge devices, such as cameras, Hanwha Vision aims to provide faster decision-making and operational efficiency. Future edge AI cameras are anticipated to function as intelligent agents, capable of understanding and responding to situations autonomously.

Generative AI is another pivotal trend, with potential applications in intrusion detection and fire prevention highlighted. The technology promises to enhance traditional systems by understanding human behavior and context. Additionally, the expansion of AI ecosystems is expected to foster collaboration and innovation in the market. Simplified management solutions, end-to-end integrations, and a focus on cybersecurity and transparency are also predicted to enhance the security landscape in the coming years.

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Key large language model papers from October 13 to 18

A roundup of notable large language model research from the third week of October 2025, spanning generative modeling, multimodal embeddings, and evaluation. Highlights include a diffusion transformer built on representation autoencoders and a language-centric scaling law for embeddings.

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