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- Service Overview
- User Guide
-
API Reference
- Before You Start
- Calling APIs
-
Platform APIs
-
Video Center
- Creating a Video Source
- Modifying a Video Source
- Deleting a Video Source
- Obtaining Details About a Video Source
- Obtaining Video Sources
- Creating a Video Source Group
- Deleting a Video Source Group
- Updating a Video Source Group
- Obtaining Details About a Video Source Group
- Obtaining Video Source Groups
- Task Center
- Algorithm Center
- Operation Center
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Video Center
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Algorithm APIs
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Edge Service APIs
- Creating a People Flow Counting (Edge) Job
- Creating an Intrusion Detection (Edge) Job
- Creating an On-Duty Inspection (Edge) Job for Key Positions
- Creating an Abandoned Object Detection (Edge) Job
- Creating a Crowd Density Monitoring (Edge) Job
- Creating a Work Gear and Helmet Detection (Edge) Job
- Creating a Smoke and Fire Detection (Edge) Job
- Creating a Fight Detection (Edge) Job
- Creating a Shared Bicycle Detection (Edge) Job
- Creating an Individual Behavior Detection (Edge) Job
- Creating an Individual Action Detection (Edge) Job
- Creating a Mask Detection (Edge) Job
- Creating an Abnormal Parking Detection (Edge) Job
- Creating a Vehicle Detection (Edge) Job
- Creating a Fire Passage Obstruction Detection (Edge) Job
- Creating a Non-motorized Vehicle Detection (Edge) Job
- Creating a Trash Can Anomaly Detection (Edge) Job
- Creating an Overflowing Garbage Can Detection in Cities (Edge) Job
- Creating a Crowd Counting at High Altitudes (Edge) Job
- Creating a Target Attribute Recognition (Edge) Job
- Creating an E-bike Rider Helmet Detection (Edge) Job
- Creating an Umbrella Violation Detection (Edge) Job
- Creating an Advertisement Violation Detection (Edge) Job
- Creating a Messy Piles Detection (Edge) Job
- Creating a Clothes Airing Violation Detection (Edge) Job
- Creating a Littering Construction Waste Detection (Edge) Job
- Creating a Missing Manhole Cover Detection (Edge) Job
- Creating a Missing Manhole Cover Detection From a Dynamic Perspective (Edge) Job
- Creating an Urban Trash Detection (Edge) Job
- Creating an Urban Mobile Trash Detection (Edge) Job
- Creating an Urban Roadside Stall Detection (Edge) Job
- Creating an Exposed Bare Soil Detection (Edge) Job
- Creating a Wrong-Way Driving Detection (Edge) Job
- Creating a Speeding Detection at High Altitudes (Edge) Job
- Creating a Vehicle Counting at High Altitudes (Edge) Job
- Creating a Vessel Intrusion Detection (Edge) Job
- Creating a Floating Debris Detection (Edge) Job
- Creating a Drainage Outlet Monitoring (Edge) Job
- Creating a River Water Level Gauge Reading (Edge) Job
- Creating a Waterlogging Detection (Edge) Job
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Cloud Service APIs
- Creating a People Flow Counting (Cloud) Job
- Creating an Intrusion Detection (Cloud) Job
- Creating an On-Duty Inspection (Cloud) Job for Key Positions
- Creating an Abandoned Object Detection (Cloud) Job
- Creating a Crowd Density Monitoring (Cloud) Job
- Creating a Work Gear and Helmet Detection (Cloud) Job
- Creating a Smoke and Fire Detection (Cloud) Job
- Creating a Fight Detection (Cloud) Job
- Creating a Shared Bicycle Detection (Cloud) Job
- Creating an Individual Behavior Detection (Cloud) Job
- Creating an Individual Action Detection (Cloud) Job
- Creating a Mask Detection (Cloud) Job
- Creating an Abnormal Parking Detection (Cloud) Job
- Creating a Vehicle Detection (Cloud) Job
- Creating a Fire Passage Obstruction Detection (Cloud) Job
- Creating a Non-motorized Vehicle Detection (Cloud) Job
- Creating a Trash Can Anomaly Detection (Cloud) Job
- Creating an Overflowing Garbage Can Detection in Cities (Cloud) Job
- Creating a Crowd Counting at High Altitudes (Cloud) Job
- Creating a Target Attribute Recognition (Cloud) Job
- Creating an E-bike Rider Helmet Detection (Cloud) Job
- Creating an Umbrella Violation Detection (Cloud) Job
- Creating an Advertisement Violation Detection (Cloud) Job
- Creating a Messy Piles Detection (Cloud) Job
- Creating a Clothes Airing Violation Detection (Cloud) Job
- Creating a Littering Construction Waste Detection (Cloud) Job
- Creating a Missing Manhole Cover Detection (Cloud) Job
- Creating a Missing Manhole Cover Detection From a Dynamic Perspective (Cloud) Job
- Creating an Urban Trash Detection (Cloud) Job
- Creating an Urban Mobile Trash Detection (Cloud) Job
- Creating an Urban Roadside Stall Detection (Cloud) Job
- Creating an Exposed Bare Soil Detection (Cloud) Job
- Creating a Vessel Intrusion Detection (Cloud) Job
- Creating a Floating Debris Detection (Cloud) Job
- Creating a Drainage Outlet Monitoring (Cloud) Job
- Creating a River Water Level Gauge Reading (Cloud) Job
- Creating a Waterlogging Detection (Cloud) Job
- Public APIs
-
Edge Service APIs
-
Alarm Information
- People Flow Counting
- Intrusion Detection
- Staff On-Duty Detection
- Abandoned Object Detection
- Crowd Density Monitoring
- Safety Suite Detection
- Fire and Smoke Detection
- Fight Detection
- Shared Bicycle Detection
- Individual Behavior Detection
- Individual Action Detection
- Mask Wearing Detection
- Abnormal Parking
- Vehicle Detection
- Fire Passage Obstruction Detection
- Non-motorized Vehicle Detection
- Trash Can Anomaly Detection
- Overflowing Garbage Can Detection in Cities
- Peak Crowd Counting
- Target Attribute Recognition
- E-bike Rider Helmet Detection
- Umbrella Violation Detection
- Advertisement Violation Detection
- Messy Piles Detection
- Clothes Airing Violation Detection
- Littering Construction Waste Detection
- Missing Manhole Cover Detection
- Missing Manhole Cover Detection From a Dynamic Perspective
- Urban Trash Detection
- Urban Mobile Trash Detection
- Urban Roadside Stall Detection
- Exposed Bare Soil Detection
- Wrong-Way Driving Detection
- Peak Speeding Detection
- Peak Vehicle Counting
- Vessel Intrusion Detection
- Floating Debris Detection
- Drainage Outlet Monitoring
- Water Level Gauge Reading
- Standing Water Detection
- Cyanobacteria Identification
- Common Parameters
- Appendix
- Change History
- FAQs
- General Reference
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Applicable Scenarios
Commercial and Residential Campuses
Combining AI, big data, and cloud computing technologies, VIAS helps create smart campuses by providing a comprehensive campus management solution powered by intelligent technologies such as perimeter intrusion detection, detection of objects left behind, facial ID, automatic license plate recognition, and parking violation detection, covering campus security and pedestrian and vehicle management.
Industrial Parks
VIAS uses intelligent video analysis, IoT, and big data technologies to enable automated, intelligent management of industrial parks by providing key capabilities such as operation violation detection, fire and smoke detection, on-duty detection, personal protection equipment detection, and automatic admission of vehicles and people, ensuring safe production, emergency supervision, and security protection in industrial parks.
City Governance
VIAS uses city street videos and grid data management to detect events such as crowd gathering, street-side garbage, parking violations, and mis-placement of shared bikes in cities, improving city governance.
Smart Stadium
Leveraging AI and big data technologies, VIAS implements the highly intelligent management of crowd situational awareness and emergency response in stadiums by providing a smart stadium solution that includes head counting, a crowd density heatmap, crowd density detection, ID verification for both people and vehicles, fire and smoke detection, fire escape obstruction detection, and fall detection.
Smart Construction Site
Leveraging AI, big data and IoT technologies, VIAS implements the automatic monitoring of construction safety and the construction specifications of construction sites by providing safety helmet and reflective clothing detection, restricted and adjacent area security alarms, absence detection, climbing detection, smoking detection, and mobile phone usage detection, helping supervision departments manage construction sites in real time and detect violations and security risks promptly.
Smart Station
Backed by cloud-edge-device synergy, VIAS uses AI to identify violations such as smoking and using mobile phones in gas stations, recognize clothing of on-site personnel, including whether they are wearing safety helmets and workwear, and reports alarms on fire and smoke, all in real time, ensuring the safe operation of gas sites.
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