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Video Intelligent Analysis Service
Video Intelligent Analysis Service
- 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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Constraints
VIAS has certain constraints and limitations, some cost-related and some technological. System-wide constraints affect all sub-services. Additionally, sub-services are subject to their respective constraints.
System-wide Constraints
- Edge services support RTSP streams and VCN input. Cloud services support input of Industry Video Management (IVM) video streams or OBS video files.
- If the input is an OBS file, the file name extension can be .avi, .wmv, .mpg, .mpeg, .mp4, .mov, .m4v, or .mkv.
- Videos encrypted by KMS in OBS buckets are not supported.
- The size of a single video file cannot exceed 4 GB.
- Supported frame rates include 12, 24, 25, and 30 fps.
- The maximum resolution is 4096 x 2160 (4K). The recommended resolution is 1920 x 1080 (1080p).
- Decoding is supported for H.264 and H.265 videos.
Encoding Format |
Resolution |
---|---|
H.264 |
720P, 1080P, 2K, 4K |
H.265 |
720P, 1080P, 2K, 4K |
Parent topic: Before You Start
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