jnagidi/DeepEYE-Video-Surveillance-with-Anomaly-Detection

DeepEYE is a typical academic or personal project implementing standard video anomaly detection techniques. With only 27 stars and 6 forks after two years, it lacks the community momentum or technical differentiation required to survive in a highly competitive market. The project appears stagnant (0 velocity). Technically, it likely relies on standard CNN-LSTM or Autoencoder architectures which are now commodity. Frontier labs and established surveillance giants (Verkada, Rhombus, Hikvision) have already integrated more sophisticated, production-hardened versions of these features. Furthermore, the advent of multimodal LLMs like Gemini 1.5 Pro and GPT-4o, which can reason about video context natively, renders simple 'anomaly detection' scripts like this obsolete for any use case requiring actual reliability or nuanced understanding.