Intelligent video analytics and search

Using NVIDIA VILA and VSS technologies, searches are performed within seconds — even across:

• Multiple days
• Multiple weeks
• Thousands of hours of video

This significantly reduces manual work and speeds up incident investigations. Processing speed depends on the computing power of the server infrastructure used.

The technology can recognize:

• People
• Vehicles
• Actions
• Objects (boxes, pallets, equipment, etc.)
• Specific situations (falls, conflicts, unauthorized movement)

Within GDPR requirements, identification features are configured according to legislation and can be anonymized, masked, or restricted as needed.

No — the solution runs 100% on-premises, within your own server infrastructure.

This ensures:

• Full data control
• No dependency on external cloud services
• GDPR compliance by default
• Faster processing with no network latency

AI video analytics greatly improves accuracy, but like all computer vision technologies, it has limitations. Accuracy may be affected by:

• Poor lighting
• Occluded objects
• Camera placement
• Low video quality

We improve results through:

• Model customization for your environment
• Optimal camera placement
• Additional model training using your company’s data (which is possible and often highly beneficial, requiring only data preparation work)

Yes — the solution supports:

• Real-time event monitoring
• Historical video search
• Automatic event summarization
• Alert generation for defined scenarios

This makes it suitable for both security and operational management.

• Reduced manual work — no need to review hours of video
• Faster incident investigation
• Improved safety and risk prevention
• Process optimization in manufacturing and logistics
• Customer behavior analysis in retail
• Smarter, data-driven decision-making

The project consists of four steps:

1. Analysis and consultation – assessment of cameras, archives, and requirements
2. Integration with VMS or archive – connecting AI for video processing
3. Model configuration – adapting recognition to your use cases
4. Testing, training, and handover – ensuring reliable operation

Implementation typically takes 2–6 weeks.

Yes — the solution is modular.

You can add:

• New recognized objects
• More complex actions (e.g., aggression, falls, unauthorized access)
• Industrial process detection
• Integrations with ERP, WMS, or security systems

AI models are regularly updated, making the system smarter and more accurate over time.

No — it does not replace people. Instead, it:

• Speeds up incident investigations
• Reduces routine video review
• Helps monitor large volumes of footage
• Alerts operators to events that may be missed

AI acts as an assistant, allowing staff to focus on critical tasks.

Yes — the system can be extended, further trained with new data, and integrated with:

• Standard IP cameras
• Thermal cameras
• Security and industrial sensors
• Access control systems

This provides a holistic situational overview and significantly improves analytical accuracy.