---
comments: true
description: Learn how to use Ultralytics YOLO26 for precise object counting in specified regions, enhancing efficiency across various applications.
keywords: object counting, regions, YOLO26, computer vision, Ultralytics, efficiency, accuracy, automation, real-time, applications, surveillance, monitoring
---

# Object Counting in Different Regions using Ultralytics YOLO 🚀

## What is Object Counting in Regions?

[Object counting](../guides/object-counting.md) in regions with [Ultralytics YOLO26](https://github.com/ultralytics/ultralytics/) involves precisely determining the number of objects within specified areas using advanced [computer vision](https://www.ultralytics.com/glossary/computer-vision-cv). This approach is valuable for optimizing processes, enhancing security, and improving efficiency in various applications.

<p align="center">
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  <strong>Watch:</strong> Object Counting in Different Regions using Ultralytics YOLO26 | Ultralytics Solutions 🚀
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## Advantages of Object Counting in Regions

- **[Precision](https://www.ultralytics.com/glossary/precision) and Accuracy:** Object counting in regions with advanced computer vision ensures precise and accurate counts, minimizing errors often associated with manual counting.
- **Efficiency Improvement:** Automated object counting enhances operational efficiency, providing real-time results and streamlining processes across different applications.
- **Versatility and Application:** The versatility of object counting in regions makes it applicable across various domains, from manufacturing and surveillance to traffic monitoring, contributing to its widespread utility and effectiveness.

## Real World Applications

|                                                                                       Retail                                                                                       |                                                                                  Market Streets                                                                                  |
| :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
| ![People Counting in Different Region using Ultralytics YOLO26](https://cdn.jsdelivr.net/gh/ultralytics/assets@main/docs/people-counting-different-region-ultralytics-yolov8.avif) | ![Crowd Counting in Different Region using Ultralytics YOLO26](https://cdn.jsdelivr.net/gh/ultralytics/assets@main/docs/crowd-counting-different-region-ultralytics-yolov8.avif) |
|                                                            People Counting in Different Region using Ultralytics YOLO26                                                            |                                                           Crowd Counting in Different Region using Ultralytics YOLO26                                                            |

## Usage Examples

!!! example "Region counting using Ultralytics YOLO"

    === "Python"

         ```python
         import cv2

         from ultralytics import solutions

         cap = cv2.VideoCapture("path/to/video.mp4")
         assert cap.isOpened(), "Error reading video file"

         # Pass region as list
         # region_points = [(20, 400), (1080, 400), (1080, 360), (20, 360)]

         # Pass region as dictionary
         region_points = {
             "region-01": [(50, 50), (250, 50), (250, 250), (50, 250)],
             "region-02": [(640, 640), (780, 640), (780, 720), (640, 720)],
         }

         # Video writer
         w, h, fps = (int(cap.get(x)) for x in (cv2.CAP_PROP_FRAME_WIDTH, cv2.CAP_PROP_FRAME_HEIGHT, cv2.CAP_PROP_FPS))
         video_writer = cv2.VideoWriter("region_counting.avi", cv2.VideoWriter_fourcc(*"mp4v"), fps, (w, h))

         # Initialize region counter object
         regioncounter = solutions.RegionCounter(
             show=True,  # display the frame
             region=region_points,  # pass region points
             model="yolo26n.pt",  # model for counting in regions, e.g., yolo26s.pt
         )

         # Process video
         while cap.isOpened():
             success, im0 = cap.read()

             if not success:
                 print("Video frame is empty or processing is complete.")
                 break

             results = regioncounter(im0)

             # print(results)  # access the output

             video_writer.write(results.plot_im)

         cap.release()
         video_writer.release()
         cv2.destroyAllWindows()  # destroy all opened windows
         ```

!!! tip "Ultralytics Example Code"

      The Ultralytics region counting module is available in our [examples section](https://github.com/ultralytics/ultralytics/blob/main/examples/YOLOv8-Region-Counter/yolov8_region_counter.py). You can explore this example for code customization and modify it to suit your specific use case.

### `RegionCounter` Arguments

Here's a table with the `RegionCounter` arguments:

{% from "macros/solutions-args.md" import param_table %}
{{ param_table(["model", "region"]) }}

The `RegionCounter` solution enables the use of object tracking parameters:

{% from "macros/track-args.md" import param_table %}
{{ param_table(["tracker", "conf", "iou", "classes", "verbose", "device"]) }}

Additionally, the following visualization settings are supported:

{% from "macros/visualization-args.md" import param_table %}
{{ param_table(["show", "line_width", "show_conf", "show_labels"]) }}

## FAQ

### What is object counting in specified regions using Ultralytics YOLO26?

Object counting in specified regions with [Ultralytics YOLO26](https://github.com/ultralytics/ultralytics) involves detecting and tallying the number of objects within defined areas using advanced computer vision. This precise method enhances efficiency and [accuracy](https://www.ultralytics.com/glossary/accuracy) across various applications like manufacturing, surveillance, and traffic monitoring.

### How do I run the region based object counting script with Ultralytics YOLO26?

Follow these steps to run object counting in Ultralytics YOLO26:

1. Clone the Ultralytics repository and navigate to the directory:

    ```bash
    git clone https://github.com/ultralytics/ultralytics
    cd ultralytics/examples/YOLOv8-Region-Counter
    ```

2. Execute the region counting script:
    ```bash
    python yolov8_region_counter.py --source "path/to/video.mp4" --save-img
    ```

For more options, visit the [Usage Examples](#usage-examples) section.

### Why should I use Ultralytics YOLO26 for object counting in regions?

Using Ultralytics YOLO26 for object counting in regions offers several advantages:

1. **Real-time Processing:** YOLO26's architecture enables fast inference, making it ideal for applications requiring immediate counting results.
2. **Flexible Region Definition:** The solution allows you to define multiple custom regions as polygons, rectangles, or lines to suit your specific monitoring needs.
3. **Multi-class Support:** Count different object types simultaneously within the same regions, providing comprehensive analytics.
4. **Integration Capabilities:** Easily integrate with existing systems through the Ultralytics Python API or command-line interface.

Explore deeper benefits in the [Advantages](#advantages-of-object-counting-in-regions) section.

### What are some real-world applications of object counting in regions?

Object counting with Ultralytics YOLO26 can be applied to numerous real-world scenarios:

- **Retail Analytics:** Count customers in different store sections to optimize layout and staffing.
- **Traffic Management:** Monitor vehicle flow in specific road segments or intersections.
- **Manufacturing:** Track products moving through different production zones.
- **Warehouse Operations:** Count inventory items in designated storage areas.
- **Public Safety:** Monitor crowd density in specific zones during events.

Explore more examples in the [Real World Applications](#real-world-applications) section and the [TrackZone](../guides/trackzone.md) solution for additional zone-based monitoring capabilities.
