หน้านี้ยังไม่พร้อมใช้งานในภาษาท้องถิ่นของคุณ เรากำลังพยายามอย่างหนักเพื่อเพิ่มเวอร์ชันภาษาอื่น ๆ เพิ่มเติม ขอบคุณสำหรับการสนับสนุนเสมอมา
- 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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Obtaining Task Results
After a task is executed, obtain the task result based on the output path set during task creation.
If Output Mode is set to Event Center, obtain the task result in Event Center. For details, see Event Overview.
To obtain the task result when the output mode is DIS or Webhook, follow the steps in this chapter.
Step 1 Obtain the Task Output Path
After a task is executed, click the task name on the task list page and obtain the task output path in the Configure Output tab.
- Obtain the DIS channel for DIS output mode.
- Obtain the webhook URL for webhook output mode.
Step 2 Obtain the Task Result
View the task result in the obtained output path.
DIS
- Log in to the DIS console.
- Click the obtained DIS stream, and check whether any incoming stream is generated.
- Obtain the result data through a DIS dump task. For details, see Creating a Dump Task.
Webhook
The service uses a POST request to send the task result, including structured data and images, as data streams in JSON format to the specified webhook URL.
As an example, the script in Starting a Webhook Service saves the webhook message that it receives in the post.txt file, which is in the same folder as the script.
Take the intrusion detection algorithm as an example. The following is an example of the JSON result output by the algorithm, indicating that an intrusion is detected in a specified area in the video.
{ "event_type":196609, "timestamp":1581753322, "stream_id":"44000000581314000234#15#9f63890660f24175871c861b345e852d", "message_id":"849D1326-4FC8-11EA-8F73-0242AC110004", "image_base64":"/9j/4AAQSkZJRgA...", "task_id":"63eac48bf3704e8bb30af7f244fdcf3d", "data":{ "event_set":[ { "start_position":"in", "end_position":"in", "bounding_box":{ "y":327, "h":216, "x":876, "w":105 }, "category":0, "detection_id":"83BFC020-4FC8-11EA-9F93-0242AC110004" } ] } }
Field |
Description |
---|---|
task_id |
Task ID. |
data |
Recognition result output by the task. |
bounding_box |
Rectangle for the alarm object.
|
detection_id |
UUID of the alarm object. |
category |
Category of the alarm object. The value can be:
|
start_position |
Start position of the intrusion.
|
end_position |
End position of the intrusion.
|
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