Imagine this: You have a 90-minute security recording from your warehouse floor. You need to know if anyone violated safety protocols between 8:00 AM and 9:30 AM.
Traditionally, a security officer would spend an hour and a half watching that video, scrubbing through timelines, potentially missing a split-second event due to fatigue.
With AI Video Search & Summarization solution, that 90-minute review takes just minutes.
As you saw in our video ad, our system didn’t just “watch” the footage; it understood it. It instantly pinpointed every instance of a worker missing a safety helmet, provided the exact timestamp, and flagged it for review.
This is not just motion detection. This is Visual Language Reasoning.
Unlike older AI that could only identify “a person” or “a box,” this system uses Qwen3-VL, a state-of-the-art model capable of complex reasoning. It integrates text and visual understanding, allowing you to “chat” with your video data.
Why This Changes Everything
· Needle-in-a-Haystack Accuracy: We can process long-context videos (up to 2 hours or more in a single pass) and find specific events with near 100% accuracy.
· Natural Language Search: You don’t need code. You simply type: “Show me all instances where a forklift was driving too fast” or “Find the moment the red package was removed from the shelf.”
· Exact Time-Stamping: The system doesn’t just give you a summary; it provides precise text-based timestamps for every event, allowing for immediate verification.
While safety monitoring is a powerful application, the Nvidia AI Blueprint for Video Search and Summarization (VSS) we deploy allows us to build agents for virtually any industry.
Here is how local organizations can utilize this technology right now:
· Queue Management: Ask the AI, “Summarize peak wait times at checkout counters today.”
· Shrinkage Control: Detect complex behaviors, such as “sweethearting” (scanning one item but bagging two) or identifying items left in carts.
· Stock alerts: Automatically flag empty shelf space without manual checks.
· Incident Search: Instead of watching 24 hours of traffic feed to find an accident, ask: “Find the collision involving the blue sedan.”
· Flow Analysis: Summarize traffic density patterns over weeks to optimize light timing.
· License Plate & Object Tracking: Track specific vehicles across multiple video feeds in real-time.
· Meeting Summarization: Upload a 2-hour board meeting video. The AI can generate a text summary, transcribe the audio, and even answer: “What was the CEO’s reaction to the Q3 budget proposal?”
· Evidence Review: Law firms can search hours of deposition video for specific keywords or non-verbal reactions.
· Patient Safety: Monitor for falls or distress in real-time without requiring a nurse to stare at a screen.
· Protocol Adherence: Verify if hygiene protocols (like hand washing or mask-wearing) are being followed before entering sterile zones.
· Highlight Generation: Automatically slice a long sporting event or conference into a 2-minute highlight reel based on crowd reaction or specific keywords.
· Content Retrieval: Search massive video archives to find historical footage using simple descriptions like “President speaking at the 2010 summit.”
Building these agents requires massive compute power and sophisticated orchestration. That is where we come in.
Datakom AI Datacenter Engineers provide the full stack implementation:
· Infrastructure: We deploy Nvidia DGX Spark or high-density GPU clusters if necessary to run these heavy workloads locally or in a private cloud.
· Customization: We can fine-tune the Qwen3-VL model on your specific data—whether that’s Latvian license plates, specific manufacturing machinery, or local retail layouts.
· Privacy First: Your video data doesn’t need to leave your premises. We build the solution to run on your infrastructure, ensuring compliance with GDPR and internal security standards.
Ready to see your data clearly?
Don’t let your video data gather dust. Turn it into a decision-making engine.
Our solution utilizes the Nvidia AI Blueprint for Video Search and Summarization, leveraging Qwen3-VL’s native support for interleaved contexts of up to 256K tokens. This allows for the ingestion of long-form video with high-fidelity retention, retrieval, and cross-referencing capabilities, powered by advanced “thinking” variants of the model for complex reasoning tasks.
Datakom offers a range of IT services, suitable for any institution or company, based on business needs, industry specifics and the number of employees.
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