Development of an AI-Driven Video Search and Monitoring Platform for Security Cameras

The client faces difficulties in efficiently managing, searching, and monitoring extensive video feeds from multiple security cameras. Current systems produce large volumes of footage with limited intelligent analysis, leading to inefficient manual review and delayed response to critical events. There is a need for an advanced, automated solution capable of integrating any camera device, performing intelligent event detection, and facilitating rapid search through recorded footage.

A mid to large-sized company seeking to enhance its video surveillance system with intelligent search, real-time alerts, and scalable device integration.

• Develop a scalable mobile application for iOS and Android that transforms smartphones and tablets into remote security cameras, enabling real-time monitoring and two-way communication.
• Implement machine learning algorithms to automatically detect and prioritize significant events, reducing manual review workload.
• Create an intelligent, keyword and speech-enabled search engine that allows users to filter archived video footage by objects, activities, or specific tags.
• Enable configurable real-time alerts based on movement detection within specified zones and timeframes.
• Achieve processing of at least 4 million video events daily, with 80% of user engagement via mobile apps, improving responsiveness and user experience.

• Mobile apps (iOS and Android) enabling live streaming and device control, transforming consumer devices into security monitors.
• Two-way communication capabilities for real-time interaction with monitored environments.
• Configurable motion detection zones and scheduling for automated alerts during specific periods and locations.
• Integration of advanced machine learning algorithms for event prioritization and continuous learning from user interactions.
• A smart video search engine accessible via text or voice, capable of filtering footage by objects, activities, or labels.
• Efficient storage and indexing of large-scale video data to support rapid retrieval and searching.

• Camera device APIs and SDKs for seamless device connectivity
• Notification systems for alert delivery
• Speech recognition APIs for voice-based search queries
• Backend data analytics and AI service integrations

• High scalability to handle over 4 million video events daily
• Low latency for real-time video streaming and alerting
• Secure data handling and user authentication protocols
• High availability and system resilience
• User-friendly interface with intuitive navigation for both mobile apps and web interface

By deploying an AI-powered, search-enhanced video surveillance platform, the client is expected to significantly reduce manual monitoring effort, improve event detection accuracy, and elevate overall security responsiveness. The system aims to process over 4 million video events daily and achieve 80% user engagement via mobile apps, leading to faster incident response times and enhanced security operations.