Our AI agents turn legacy camera feeds into searchable intelligence, reducing forensic review time by 90% using real-time LLM
Our AI agents turn legacy camera feeds into searchable intelligence, reducing forensic review time by 90% using real-time LLM
Tristar Digital, the creator of the VideoIQ.ai real-time video intelligence platform, has been accepted into the NVIDIA Inception program. This milestone supports our mission to accelerate AI-powered video analytics, multimodal detection for public sector and enterprise environments.
RTCCs and Fusion Centers utilize AI powered video analytics to enhance their operational efficiency. By integrating NVIDIA technology, these centers enable real-time alerting and facilitate semantic search capabilities. Additionally, video summarization tools streamline the analysis of extensive footage, making it easier for Emergency Operations Centers (EOCs) to respond effectively.
Multi-Source FMV Analytics leverages AI powered video analytics to provide comprehensive insights. By utilizing NVIDIA technology, it enhances real-time alerting capabilities, enabling users to receive immediate notifications on relevant events. The system also incorporates advanced semantic search features, allowing for efficient retriev
Multi-Source FMV Analytics leverages AI powered video analytics to provide comprehensive insights. By utilizing NVIDIA technology, it enhances real-time alerting capabilities, enabling users to receive immediate notifications on relevant events. The system also incorporates advanced semantic search features, allowing for efficient retrieval of specific content, and offers video summarization tools that condense lengthy footage into concise summaries.
Airports, utilities, and stadiums can greatly benefit from AI powered video analytics, utilizing NVIDIA technology for enhanced performance. These innovations provide real-time alerting, enabling better security and management. Additionally, features like semantic search and video summarization help streamline operations and improve the overall efficiency of these facilities.
Each VideoIQ Instance is Running on accelerated NVIDIA GPU (8ea) and CPU (64ea) Fabric with Adjustable Storage Capacity.
