Blog
Guides, use cases, and benchmarks for video object analytics.
Video as Queryable Data for Agencies & Organizations
Most modern organizations store video as files and folders. This article explains why video should be treated as structured data, how querying video unlocks massive value, and how VideoSenseAI enables this shift.
Video Sentiment Analysis for Marketing Agencies
Marketing teams used to run sentiment analysis on tweets. Now the real signal is in video: creator ads, TikToks, YouTube reviews, UGC, webinars. This guide explains “video sentiment analysis” (positive/negative/context) and how to track product mentions, competitor comparisons, and key moments—at timestamp level—using VideoSenseAI.
Avigilon Unity vs VideoSenseAI: Video Analytics, Search & Investigation Compared
Traditional VMS platforms like Avigilon Unity are built for recording and live monitoring — but investigations are a different problem. This article compares Avigilon Unity, other VMS platforms, and VideoSenseAI for post-event video analytics, object detection, searchable timelines, and pricing, focusing on how teams review long, unstructured footage when alerts are missed.
AI Drone Analysis for Search and Rescue: Detecting Missing Persons in Drone Footage
Learn how AI-powered drone video analysis helps search and rescue teams detect missing persons faster by scanning hours of drone footage, identifying people, and turning video into searchable data.
Smarter Home Surveillance: How VideoSense AI Detects Intruders in CCTV Footage
WATCH VIDEO HERE Discover how VideoSense AI turns ordinary CCTV footage into intelligent security insights. Automatically detect intruders, find key frames instantly, and generate AI-powered summaries for rapid threat response. The Problem: One Hour+ of CCTV videos: Traditional home and business CCTV systems record everything — but finding the one crucial moment (a break-in, trespasser, or suspicious visitor) is painfully slow. Even with motion detection, systems often miss small movements or trigger false alerts due to: - Shadows and lighting changes - Pets or environmental motion (trees, reflections) - Limited analytics on low-end DVRs As a result, security personnel or homeowners must scrub through hours of footage just to find a few critical seconds. That’s where AI video analysis changes everything. VideoSense AI: Turning Every Camera into a Smart Security Sensor VideoSense AI uses advanced computer vision and multimodal AI to detect people, vehicles, and objects frame-by-frame — even in low light or complex environments. Instead of watching endless footage, you get instant visual reports and detection timelines showing exactly when and where someone appeared. Key Capabilities: ✅ Automatic Object & Person Detection Identifies every person, car, or object across long CCTV recordings. ✅ Timeline Visualization Each detection is timestamped — click any marker to jump to that exact second in the video. ✅ AI-Generated Security Summaries Produces natural-language insights like: “A person appeared near the garage at 00:25:11.” ✅ Multi-Hour Footage Support Analyzes 1+ hour videos efficiently — no limits on duration or frame count. ✅ Exportable Data for Reporting Outputs CSV summaries, charts, and visual dashboards for audits or evidence. Real Use Case: Identifying a Person in 1 Hour of Home CCTV Footage A homeowner uploaded 59 minutes and 54 seconds of footage from a garage security camera (see image below). The AI analyzed the entire video — 120 frames from 3,572 seconds — in under 1 minutes. From over 32 object types detected (car, wall, dog, tree, fence, house, etc.), the system pinpointed the exact frame where a person appeared — potentially identifying a thief or intruder. Before filtering: The chart shows dozens of detected objects including vehicles, animals, and environment elements. After filtering by “Person”: Only one frame remained — the critical detection moment. (Images below: Visual timeline and bar chart showing automatic person detection in CCTV footage.) Outcome - AI detected and timestamped the intruder frame (00:25:11) - Generated a visual dashboard highlighting object frequency and total detections - Exported structured data for security logs and evidence - Eliminated the need to manually review an entire hour of footage 💡 In this example, what took a human ~1 hour now takes <1 minute with 100% detection accuracy. Expanded Security Applications 1️⃣ Intruder Detection & Night Surveillance Instantly detect unauthorized individuals appearing on camera — even at night or under low light. 2️⃣ Vehicle & License Area Monitoring Track parked or moving vehicles (cars, bikes, trucks) and identify repeat patterns near your property. 3️⃣ Perimeter Security & Restricted Zones Receive alerts when a person enters sensitive zones such as gates, parking lots, or restricted warehouses. 4️⃣ Incident Replay for Law Enforcement Export specific timestamps with visual evidence for police or insurance investigations. 5️⃣ Smart Home & Business Security Detect loitering, suspicious presence, or deliveries across multiple cameras simultaneously. 6️⃣ Construction & Industrial Safety Identify people entering active zones without helmets, safety vests, or authorization. Example Output Snapshot Event Timestamp Detected Objects 1 00:25:11 Person 2 00:00:41 Car, Fence 3 00:52:55 Car, House, Wall (Data automatically generated by VideoSenseAI) Benefits for Security Teams & Homeowners Challenge Traditional CCTV With VideoSense AI Review Time Hours of playback Minutes of AI analysis Missed Incidents High Low Object Identification Manual Automatic & timestamped Report Creation Manual logs Auto-generated CSV/Charts Cost 24/7 monitoring staff Automated analytics engine Conclusion: Smarter Eyes for Safer Spaces VideoSense AI transforms passive CCTV cameras into intelligent watchers. It finds the exact moment a person or intruder appears — without human supervision. From hours of footage to seconds of insight, VideoSense AI gives your security system eyes that never blink and a mind that never sleeps. Check this article on how VideoSenseAI wokrs: https://videosenseai.com/blogs/turn-video-into-searchable-data/
From Object Detection to Multimodal AI: The Future of Video Intelligence
Traditional object detection shows what appears in a video. Multimodal AI explains what is happening, why it matters, and how events unfold over time. Learn how VideoSenseAI combines vision, audio, and language to turn raw video into structured intelligence.
YOLO vs Multimodal AI Video Analysis — How VideoSenseAI Goes Beyond Object Detection
Compare YOLO vs VideoSenseAI’s multimodal video analysis — see how beyond object detection VideoSenseAI provides timelines, summaries, and structured insights.
How to Turn Video Into Searchable Data | VideoSenseAI Tutorial
VideoSenseAI turns raw video into searchable data by detecting objects, speech, and events—so you can instantly find moments, export insights, and save hours of review time.