
Traditional neural networks (such as CNNs) typically require manually written event logic and manually configured regions of interest (ROI) to trigger events and issue alerts. With advances in generative AI (GenAI) and large language models (LLMs), these technologies can more comprehensively understand video content through natural language, delivering precise description and analysis without relying on fixed logic.
Tieyun Technology's VAIDIO 8.0 uses GenAI technology to assess and analyze fighting behavior in video. Since fights don't follow a fixed pattern, traditional training methods can't detect them effectively — but GenAI can analyze footage and search for relevant content simply by setting a question. This is exactly the new capability in VAIDIO 8.0!
Beyond traditional AI's ability to accurately recognize trained categories like people, vehicles, and objects, GenAI excels at handling behavior patterns that can't be pre-trained. For example, it can recognize fighting, running, homeless individuals, or illegal littering, and flexibly handle diverse objects such as strollers, wheelchairs, canes, chairs, furniture, or raincoats. Since these items come in so many forms — chairs alone have countless styles — it's impractical to train a model to cover every possibility. GenAI can quickly adapt to change in complex environments, no longer limited to fixed logic or feature-based judgment.
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