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What is Vidan?
Vidan offers a comprehensive AI-enabled video intelligence platform with solutions spanning Security, Access, Safety, Search, and Health. The platform enhances enterprise security features and enables dynamic data tagging, thereby increasing the flexibility of analytics.
Vidan's capabilities include people counting, gun detection, and fire alerts. It also offers functionalities for improving operational efficiency, supervision, quality control, and audit processes across various industries.
Features
- Work Efficiency: Enhance productivity by identifying idle workers and analyzing behavior.
- Supervision: Monitor and record organizational activities, alerting to irregular activities.
- Quality Control: Analyze manufacturing processes, control workplace safety, and receive man-down notifications.
- Audit Process: Monitor video surveillance with precise notifications for high performance and low maintenance.
- Behavior Analytics: Gain insights into consumer behavior patterns for predictive analysis.
- Object Identification: Identify, track, and record specific objects in video surveillance.
- Facial Recognition: Detect and verify the identity of individuals.
- KPI Operation Management: Identify, analyze, and monitor industry-specific Key Performance Indicators (KPIs).
- Smoke and Fire Detection: Alert security management to potential fire hotspots.
- Face Mask Detection: Detect and warn individuals not wearing face masks in public areas.
Use Cases
- Retail analytics
- Manufacturing process monitoring
- Smart city safety enhancement
- Traffic control and monitoring
- Security surveillance
- Workplace safety regulation
- Crisis management (e.g., COVID-19)
- Operational efficiency improvement
FAQs
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What role does Video Analytics play in a global health crisis?
As part of Covid-19 analytics, Vidan's Face Detection has been customized to alarm on detecting a face without a mask, helping decrease the spread of the virus significantly.
Related Queries
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Vidan Uptime Monitor
Average Uptime
99.86%
Average Response Time
2092.93 ms
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