SOFTWARE OUTCOME · 2025
Ecological remote sensing and AIIntelligent video smoke and fire recognition and alarm system
Video recognition, incident alarms and operational integration

Direct answer
The system connects video sites and detects smoke or fire, supporting early risk discovery through alarms, maps, analytics and integrations.
CAPABILITIES
Capabilities reflected by the materials
Smoke and fire recognition
Real-time alarms and maps
Incident analytics and integration
View certificate imageVERIFIED CERTIFICATE
Software copyright registration certificate
The fields below were reviewed against the supplied certificate. The public image carries a physical watermark. Registration proves the copyright record, not a particular project delivery.
- Software name
- 智能视频烟火识别与报警算法系统 V1.0
- Registration No.
- 2025SR1949762
- Certificate No.
- 软著登字第16605960号
- Registration date
EVIDENCE POLICY
Outcome and delivery boundaries
This page presents software outcome information and a related copyright registration. Registration information does not prove a particular project delivery or readiness without adaptation. Requirements, data, interfaces, security and delivery conditions must still be confirmed.
FAQ
Questions about this software outcome
Where can I view registration information related to Intelligent video smoke and fire recognition and alarm system?
The Technology page lists registration number 2025SR1949762, dated 2025-10-11, and certificate number 软著登字第16605960号.
Can Intelligent video smoke and fire recognition and alarm system be deployed directly?
The materials demonstrate technical coverage. Delivery still requires adaptation to workflows, data sources, interfaces, security, deployment and acceptance requirements.
Why are source code and complete technical documents not public?
Source code, complete design documents and sensitive operational data are non-public. Only reviewed facts and approved interface images are shown.
Video recognition, incident alarms and operational integration
Evaluate how the capability fits the project’s workflows, data and delivery boundaries.
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