Searchyf transforms multimedia contents into a searchable database using advanced AI technology, enabling organizations to fetch information from videos and other media in real time. It reduces manual review time by indexing content and allowing precise searches for matching criteria. Built with proprietary deep learning-based entity recognition, ensemble models index over 200 properties from multimedia content to support complex user queries. The platform supports dynamic feature configuration to meet unique analytic needs, and offers demonstrations to showcase capabilities.

Key capabilities include object/entity identification, scene classification, facial recognition, pattern matching, face-time detection, and counting of people or objects within frames. These analytics are designed for media agencies, CCTV vendors, law enforcement, and stock-video suppliers, providing automatic tagging, content filtering, and event identification. By converting disparate media assets into searchable data, Searchyf accelerates investigative, editorial, and compliance workflows while enabling scalable analytics across large multimedia datasets.

Features & Benefits

• Object/Entity Identification: Localize desired objects/entities based on descriptive features like color, type, etc.
• Scene Classification: Classify frames based on foreground and background features.
• Facial Recognition: Recognize people based on facial features, clustering similar faces etc.
• Pattern Matching: Find objects or entities by color, shape, similarity, occurrences of specific patterns, etc.
• Facetime Detection: Analyzing the duration of face time of celebrities or politicians in media.
• Person/Object Counting: Calculate the number of people or objects in a frame at a given time interval.
• Proprietary Deep Learning based Entity Recognition Technology: Searchyf is built using proprietary entity-recognition deep learning algorithms developed by Accubits Technologies. Using ensemble learning, multiple models are combined to index over 200 properties from multimedia content to support user queries.