Computer Vision

1 day ago


Bangalore, India Jobted IN C2 Full time

Overview: Job Description: This role involves spearheading the development of an intelligent video analytics and search system. We're building a solution that takes vast amounts of video footage, whether streaming live or from existing archives, and meticulously processes it. This means segmenting videos into individual frames and then applying advanced AI models: object detection and classification to identify distinct items within each frame, and cutting-edge Video Language Models (VLMs) to provide rich, natural language descriptions of these objects and their attributes (for example, instead of just "man" and "umbrella," a VLM might describe "a man holding a black umbrella"). All this generated textual information is then meticulously organized and stored in a specialized vector database, optimized for incredibly fast and intelligent retrieval. When a user needs to find something specific, like "find the man with a black umbrella," they simply input their query in natural language. Our system then leverages this vector database to efficiently pinpoint and present the exact, relevant video frames, effectively transforming immense video datasets into actionable, easily searchable archives. Location: Bangalore/Chennai Responsibilities: Job Description: This role involves spearheading the development of an intelligent video analytics and search system. We're building a solution that takes vast amounts of video footage, whether streaming live or from existing archives, and meticulously processes it. This means segmenting videos into individual frames and then applying advanced AI models: object detection and classification to identify distinct items within each frame, and cutting-edge Video Language Models (VLMs) to provide rich, natural language descriptions of these objects and their attributes (for example, instead of just "man" and "umbrella," a VLM might describe "a man holding a black umbrella"). All this generated textual information is then meticulously organized and stored in a specialized vector database, optimized for incredibly fast and intelligent retrieval. When a user needs to find something specific, like "find the man with a black umbrella," they simply input their query in natural language. Our system then leverages this vector database to efficiently pinpoint and present the exact, relevant video frames, effectively transforming immense video datasets into actionable, easily searchable archives. Requirements: Skills: computer vision - batch and streaming video analytics, multi-object detection and classifications, VLMs NLP - LLM and building RAG S/M. Expertise in Python Knowledge of AI & ML Cloud & Infrastructure - Docker, Kubernetes, kafka APIs



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