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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
-
Video Center
-
Algorithm APIs
-
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
-
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 and Limitations
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
- Supported video formats include AVI, WMV, MPG, MPEG, MP4, MOV, M4V, and MKV.
- Supported frame rates include 12, 24, 25, and 30 fps.
- 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
Constraints of Algorithm Services on Cameras
Constraints and Recommendations on Edge Node Servers
Edge nodes where VIAS is running support Ascend and x86+GP Tnt004 servers.
- To use Ascend servers, Atlas 800 AI server (model 3000) is recommended.
- VIAS supports the c82 driver of Ascend inference chip (download path: c82 driver). If the Ascend chip driver of the current server is not of the c82 version, install the c82 driver.
- On edge node servers, the default ID of the Ascend driver user group HwHiAiUser is 1001. Do not change the value. Otherwise, algorithm jobs may run abnormally. The ID of the HwHiAiUser user group supported by VIAS is 1001, 1000, or 10001.
- To use x86+GP Tnt004 servers, RH2288 V5 and Atlas G5500 are recommended. CentOS 7.x is recommended for the server operating system. If Tnt004 servers are used, download the recommended Tnt004 driver version.
Table 2 Recommended server type Server Model
Description
NPU/GP
Atlas 800 AI server (model 3000)
CPU: 2 x Kunpeng 920 5220
Memory: 256 GB DDR4
Hard disk: 2 x 480 GB SATA-SSD + RAID 0/1/5
Atlas 300I Pro: up to eight cards supported
NIC: 2 x dual-port 25GE NIC (Mellanox CX4)
Altas 300I Pro
Atlas G5500
Operating system: CentOS 7.x/ Ubuntu 18.04/Ubuntu 16.04/RHEL 7.x (CentOS 7.x is recommended.)
CPU: two Intel® Xeon® SkyLake 6161 v5 CPUs
Memory: 128 GB
Hard disk: 2 x 1.2 TB (RAID1) system disk + 1 x 500 GB data disk
Graphics card (Tnt004): up to eight cards supported (The server supports a maximum of 16 graphics cards. However, only eight graphics cards are supported due to the limitation of CPU cores.)
NIC: 2 x 10GE
GP Tnt004
RH2288H V5
Operating system: CentOS 7.x/ Ubuntu 16.04/RHEL 7.x (CentOS 7.x is recommended.)
CPU: two Intel® Xeon® Gold 6154 CPUs
Memory: 64 GB
Hard disk: 2 x 600 GB (RAID1) system disk + 1 x 500 GB data disk
Graphics card (Tnt004): up to two cards supported
NIC: 2 * GE
GP Tnt004
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