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Find Targets in Seconds Using Natural Language

SeekFree leverages AI large language model technology to let you search surveillance video like chatting. Say goodbye to tedious attribute filtering—supporting 4000+ target categories with precise localization of people, vehicles, objects, and complex behavioral events.

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Trending Searches:

Workers without helmets Person with yellow bag Black Toyota pickup People sitting on grass

Challenges of Traditional Video Retrieval

Searching for specific events in massive surveillance data—do these challenges sound familiar?

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Time Memory Burden

Need to remember exact timeframes of events, otherwise manually reviewing footage hour by hour—time-consuming and labor-intensive

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Tedious Filtering Process

Selecting time, channel, event type, and other attributes layer by layer—6+ steps required before search can begin

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Difficult Complex Scene Description

Unable to describe compound conditions like "person in red pushing shopping cart"—traditional systems don't support semantic search

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High Manual Verification Cost

Search results require manual review one by one, high false positive rates, real targets easily buried

SeekFree Intelligent Solution

Redefining video retrieval experience based on Uniview's large language model

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Video Capture

Real-time IP camera capture

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Feature Extraction

AI extracts visual feature vectors

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Vector Database

Efficient indexing and storage

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Semantic Parsing

Understand natural language

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Intelligent Matching

Sub-second results

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Multimodal Understanding

Simultaneously parses video content and user text intent, achieving true semantic-level retrieval rather than simple keyword matching

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4000+ Category Recognition

Covers people, vehicles, non-motorized vehicles, objects, animals, and various behaviors—trained on billion-level datasets, supporting 100+ industry applications

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Semantic-Level Retrieval

Supports complex descriptions like "man in striped shirt walking a dog," understanding multi-dimensional attribute combinations including color, clothing, action, and location

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Edge Computing Deployment

NVR completes AI inference locally—data never leaves the premises, ensuring privacy and security without relying on cloud network

Natural Language Search Examples

Search like you speak—describe complex scenarios in one sentence

Search Scenario Natural Language Input Example Traditional Method
Person Search "Person in black coat wearing hat" 6-step filtering
Behavior Detection "Person smoking" Pre-config rules required
Item Tracking "Yellow handbag" Cannot search directly
Compliance Check "Workers without safety helmets" Manual inspection
Vehicle Management "Black pickup truck" Multi-condition crossover
Complex Scene "Red-clothed customer with shopping cart at checkout" Not achievable

💡 Advanced Search Syntax Support

Combined conditions: Blue work clothes AND Loading area AND Carrying boxes | Negative conditions: People not wearing masks | Time constraints: Person lingering in parking lot | OCR recognition: Vehicles with license plate starting

Technical Specifications & Compatibility

Enterprise-grade deployment solutions, flexibly adaptable to various scenarios

🖥️ Compatible NVR Devices

NVR301-08E-IQ
NVR502-16E-IM-G
NVR808-32-IX-G
  • Channel Capacity 16-256 channels
  • Storage Support Local NVR storage
  • Smart Summary Supported

📹 Camera Compatibility

  • Uniview Cameras Full series support
  • Third-party Devices SIP/UMD protocol
  • Resolution Support Up to 4K/8MP
  • Access Method Plug and play

🌐 Software & Languages

  • Client EZStation/UNV-Link
  • Mobile iOS & Android
  • Web Full feature support
  • Languages 20+ (including CJK)
  • Peripherals USB keyboard plug and play

⚡ Performance Parameters

  • Target Categories 4000+ classes
  • Training Data Billion-level dataset
  • Industry Applications 100+ scenarios
  • Search Speed Sub-second response
  • Deployment Edge/Local computing

Industry Use Cases

Efficiency gains and value creation in real-world scenarios

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Retail Industry

Chain Supermarket Complaint Handling

After deploying SeekFree, a large supermarket chain reduced complaint resolution time from an average of 2 hours to 5 minutes. Staff simply input "Customer in gray shirt at checkout 3" to quickly locate disputed footage, significantly improving customer satisfaction.

"Previously, checking surveillance required calling technical support. Now front desk staff can handle it themselves—the efficiency improvement is remarkable."
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Industrial Safety

Smart Safety Inspection at Construction Sites

A construction group uses natural language search for "personnel not wearing protective equipment" to automate safety inspections. The system automatically screens violations daily, improving safety violation detection by 300% and reducing incident rates by 60%.

"AI helps us discover safety hazards missed by manual inspections, especially during night shifts."
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Smart City

Urban Management Efficiency Improvement

A district urban management bureau uses natural language search for "illegal street vending" and "unlicensed stalls," improving processing efficiency by 10x. Officers no longer need to stare at screens for long periods—the system proactively pushes suspected violations for precise enforcement.

"From passive patrols to active alerts, enforcement resources are now allocated more rationally."

Technical Comparison

Key differences between SeekFree and traditional VMS systems

Dimension Traditional VMS Search SeekFree
Interaction Method Dropdown menu multi-condition filtering ✓ Natural language input box
Learning Curve Requires professional training, complex operation ✓ Zero barrier, as simple as search
Complex Scene Support ✗ Does not support compound descriptions ✓ Supports semantic combined search
Retrieval Accuracy Keyword matching, high false positive rate ✓ Vector semantic matching, high precision
Deployment Method Cloud-dependent, requires stable network ✓ Edge NVR local operation
Data Privacy Data uploaded to cloud ✓ Local processing, privacy secure

Frequently Asked Questions

More technical details about SeekFree

Does SeekFree require internet connection?
No. SeekFree is based on edge computing architecture—all AI inference is completed locally on the NVR. Video data is not uploaded to the cloud, ensuring your data privacy and security. The system works normally even in offline environments.
Which languages are supported for input?
English, Simplified Chinese, Korean, Russian, Spanish and Arabic input are currently supported. Other languages are under development.
Can it search historical recordings?
Absolutely. SeekFree enables searching by using snapshot images generated from historical records as the index.
How is compatibility with third-party cameras?
SeekFree supports third-party IP cameras compliant with SIP/UMD standards. However, for optimal AI analysis performance, we recommend using Uniview's intelligent camera series, which are deeply optimized for SeekFree algorithms.
Are there special hardware requirements for NVR?
SeekFree requires specific NVR models equipped with AI chips (such as NVR502-32E-IX-G, NVR804-16-IX-G, etc.). These devices feature built-in high-performance AI processing units capable of supporting local inference operations for large models. For specific models, please refer to the compatible device list above.
How do I upgrade to SeekFree functionality?
If you already own a compatible NVR model, you can obtain SeekFree functionality through firmware upgrade. For new projects, you can directly purchase NVR devices with SeekFree pre-installed. Please contact your local Uniview sales representative for detailed upgrade plans and pricing.

Ready to experience next-generation video search?

Request a product demo now, or download the technical whitepaper for detailed architecture

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