Understand how Object Detention allows you to narrow down your search to detect people and vehicles (bikes, cars and trucks) in the camera's field of view.
About Object Detection
This feature allows you to narrow down your search to detect people and vehicles (bikes, cars and trucks) in the camera's field of view.
The first place you can see MV object detection is when viewing historical video and clicking on “Show Objects” on a single camera’s video page.
The Smart Dashboard uses object detection analytics to help create histograms of objects detected by object type - person or vehicle.
- You will be able to choose person or vehicle and analyze data to provide information about how many people/vehicles entered or were present at a specific time.
- The dashboard can show you this data at a minute, hourly, or daily scale, which allows you to identify time-based trends and anomalies in the usage of your space.
- Serves as a tool to quickly find relevant video clips with histograms and time links.
Objects detected as people will be enclosed by yellow boxes.
Vehicles will be detected in purple boxes as shown below. Only available on the second generation outdoor camera MV72s.
Time Resolution, Date, Start Hour and End Hour:
Configure the scale for the slices of your histogram and the time range for your analytics.
Object Detection by Zones :
If you have configured zones on your camera, you can also view the object detection analytics by zone. The zones feature is explained in more detail in the Zones section of this article.
Most Utilized Hour:
This value represents the hour that had the highest average occupancy.
Estimated Peak Occupancy :
This value takes the maximum of the estimated occupancy of the scene across the selected time range. The estimated occupancy of a scene is calculated every minute and is an average of the number of objects detected for every second of the minute.
- Example 1: 10 people are in a camera's field of view (FoV) for 5 seconds, followed by 0 people for the remaining 55 seconds of that minute: The estimated occupancy for that minute would be rounded to 1 person.
- Example 2: 10 people are in a camera's FoV for 55 seconds, followed by 0 people for the remaining 5 seconds of that minute: The estimated occupancy for that minute would be rounded to 9 people
Entrances (bar chart/histogram):
Presents the total number of entrances per hour/day for the hour/date range specified. This can be up to 24 hrs, 7 days or 1 hour - depending on the selected time resolution.
- Example: A single person may be detected as multiple entrances within the period that they are within the frame.
- If a person walks into a camera’s FoV, walks across the frame, and then walks out unobstructed by other people or objects, the person will likely be counted as one entrance.
- If a person walks into a camera's FoV with a column in the middle, stands behind a column for a short while, and then reappears from behind the column before exiting the frame, this person will likely be counted as two entrances to this total.
- If a person bends down and is for a moment not detected as a person due to his/her crouched shape, and then stands up again, this person will likely be counted as two entrances as well.
This value represents the number of entrances of objects detected within the scene.
You can set zones on your camera on the Zones page under your camera’s Settings tab. Use this to separate your object detection data according to areas within the camera’s field of view (FoV).
- Navigate to the Analytics tab of a camera.
- Select which zone you want to analyze and view the people detection data only within that zone.
- Click on the Edit option under each zone and change the sensitivity of how much a person must be in the zone to be counted.