--- comments: true description: Learn how to use Ultralytics YOLO11 for precise object counting in specified regions, enhancing efficiency across various applications. keywords: object counting, regions, YOLO11, 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 YOLO11](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.



Watch: Object Counting in Different Regions using Ultralytics YOLO11 | Ultralytics Solutions 🚀

## 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 YOLO11](https://github.com/ultralytics/docs/releases/download/0/people-counting-different-region-ultralytics-yolov8.avif) | ![Crowd Counting in Different Region using Ultralytics YOLO11](https://github.com/ultralytics/docs/releases/download/0/crowd-counting-different-region-ultralytics-yolov8.avif) | | People Counting in Different Region using Ultralytics YOLO11 | Crowd Counting in Different Region using Ultralytics YOLO11 | !!! example "Region Counting Example" === "Python" ```python import cv2 from ultralytics import solutions cap = cv2.VideoCapture("Path/to/video/file.mp4") assert cap.isOpened(), "Error reading video file" w, h, fps = (int(cap.get(x)) for x in (cv2.CAP_PROP_FRAME_WIDTH, cv2.CAP_PROP_FRAME_HEIGHT, cv2.CAP_PROP_FPS)) # Define region points # region_points = [(20, 400), (1080, 400), (1080, 360), (20, 360)] # Pass region as list # 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 video_writer = cv2.VideoWriter("region_counting.avi", cv2.VideoWriter_fourcc(*"mp4v"), fps, (w, h)) # Init RegionCounter region = solutions.RegionCounter( show=True, region=region_points, model="yolo11n.pt", ) # Process video while cap.isOpened(): success, im0 = cap.read() if not success: print("Video frame is empty or video processing has been successfully completed.") break im0 = region.count(im0) video_writer.write(im0) cap.release() video_writer.release() cv2.destroyAllWindows() ``` !!! 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. ### Argument `RegionCounter` Here's a table with the `RegionCounter` arguments: | Name | Type | Default | Description | | ------------ | ------ | -------------------------- | ---------------------------------------------------- | | `model` | `str` | `None` | Path to Ultralytics YOLO Model File | | `region` | `list` | `[(20, 400), (1260, 400)]` | List of points defining the counting region. | | `line_width` | `int` | `2` | Line thickness for bounding boxes. | | `show` | `bool` | `False` | Flag to control whether to display the video stream. | ## FAQ ### What is object counting in specified regions using Ultralytics YOLO11? Object counting in specified regions with [Ultralytics YOLO11](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 YOLO11? Follow these steps to run object counting in Ultralytics YOLO11: 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 [Run Region Counting](https://github.com/ultralytics/ultralytics/blob/main/examples/YOLOv8-Region-Counter/readme.md) section. ### Why should I use Ultralytics YOLO11 for object counting in regions? Using Ultralytics YOLO11 for object counting in regions offers several advantages: - **Precision and Accuracy:** Minimizes errors often seen in manual counting. - **Efficiency Improvement:** Provides real-time results and streamlines processes. - **Versatility and Application:** Applies to various domains, enhancing its utility. 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 YOLO11 can be applied to numerous real-world scenarios: - **Retail:** Counting people for foot traffic analysis. - **Market Streets:** Crowd density management. Explore more examples in the [Real World Applications](#real-world-applications) section.