description: Explore Ultralytics Solutions using YOLO11 for object counting, blurring, security, and more. Enhance efficiency and solve real-world problems with cutting-edge AI.
Ultralytics Solutions provide cutting-edge applications of YOLO models, offering real-world solutions like object counting, blurring, and security systems, enhancing efficiency and [accuracy](https://www.ultralytics.com/glossary/accuracy) in diverse industries. Discover the power of YOLO11 for practical, impactful implementations.
Here's our curated list of Ultralytics solutions that can be used to create awesome [computer vision](https://www.ultralytics.com/glossary/computer-vision-cv) projects.
- [Object Counting](../guides/object-counting.md) 🚀: Learn to perform real-time object counting with YOLO11. Gain the expertise to accurately count objects in live video streams.
- [Object Cropping](../guides/object-cropping.md) 🚀: Master object cropping with YOLO11 for precise extraction of objects from images and videos.
- [Object Blurring](../guides/object-blurring.md) 🚀: Apply object blurring using YOLO11 to protect privacy in image and video processing.
- [Workouts Monitoring](../guides/workouts-monitoring.md) 🚀: Discover how to monitor workouts using YOLO11. Learn to track and analyze various fitness routines in real time.
- [Objects Counting in Regions](../guides/region-counting.md) 🚀: Count objects in specific regions using YOLO11 for accurate detection in varied areas.
- [Security Alarm System](../guides/security-alarm-system.md) 🚀: Create a security alarm system with YOLO11 that triggers alerts upon detecting new objects. Customize the system to fit your specific needs.
- [Heatmaps](../guides/heatmaps.md) 🚀: Utilize detection heatmaps to visualize data intensity across a matrix, providing clear insights in computer vision tasks.
- [Instance Segmentation with Object Tracking](../guides/instance-segmentation-and-tracking.md) 🚀 NEW: Implement [instance segmentation](https://www.ultralytics.com/glossary/instance-segmentation) and object tracking with YOLO11 to achieve precise object boundaries and continuous monitoring.
- [VisionEye View Objects Mapping](../guides/vision-eye.md) 🚀: Develop systems that mimic human eye focus on specific objects, enhancing the computer's ability to discern and prioritize details.
- [Speed Estimation](../guides/speed-estimation.md) 🚀: Estimate object speed using YOLO11 and object tracking techniques, crucial for applications like autonomous vehicles and traffic monitoring.
- [Distance Calculation](../guides/distance-calculation.md) 🚀: Calculate distances between objects using [bounding box](https://www.ultralytics.com/glossary/bounding-box) centroids in YOLO11, essential for spatial analysis.
- [Queue Management](../guides/queue-management.md) 🚀: Implement efficient queue management systems to minimize wait times and improve productivity using YOLO11.
- [Parking Management](../guides/parking-management.md) 🚀: Organize and direct vehicle flow in parking areas with YOLO11, optimizing space utilization and user experience.
- [Analytics](../guides/analytics.md) 📊 NEW: Conduct comprehensive data analysis to discover patterns and make informed decisions, leveraging YOLO11 for descriptive, predictive, and prescriptive analytics.
- [Live Inference with Streamlit](../guides/streamlit-live-inference.md) 🚀: Leverage the power of YOLO11 for real-time [object detection](https://www.ultralytics.com/glossary/object-detection) directly through your web browser with a user-friendly Streamlit interface.
## Solutions Usage
!!! tip "Command Info"
`yolo SOLUTIONS SOLUTION_NAME ARGS`
- **SOLUTIONS** is a required keyword.
- **SOLUTION_NAME** (optional) is one of: `['count', 'heatmap', 'queue', 'speed', 'workout', 'analytics']`.
- **ARGS** (optional) are custom `arg=value` pairs, such as `show_in=True`, to override default settings.
=== "CLI"
```bash
yolo solutions count show=True # for object counting
yolo solutions source="path/to/video/file.mp4" # specify video file path
We welcome contributions from the community! If you've mastered a particular aspect of Ultralytics YOLO that's not yet covered in our solutions, we encourage you to share your expertise. Writing a guide is a great way to give back to the community and help us make our documentation more comprehensive and user-friendly.
To get started, please read our [Contributing Guide](../help/contributing.md) for guidelines on how to open up a Pull Request (PR) 🛠️. We look forward to your contributions!
Let's work together to make the Ultralytics YOLO ecosystem more robust and versatile 🙏!
Ultralytics YOLO11 can be used for real-time object counting by leveraging its advanced object detection capabilities. You can follow our detailed guide on [Object Counting](../guides/object-counting.md) to set up YOLO11 for live video stream analysis. Simply install YOLO11, load your model, and process video frames to count objects dynamically.
Ultralytics YOLO11 enhances security systems by offering real-time object detection and alert mechanisms. By employing YOLO11, you can create a security alarm system that triggers alerts when new objects are detected in the surveillance area. Learn how to set up a [Security Alarm System](../guides/security-alarm-system.md) with YOLO11 for robust security monitoring.
Ultralytics YOLO11 can significantly improve queue management systems by accurately counting and tracking people in queues, thus helping to reduce wait times and optimize service efficiency. Follow our detailed guide on [Queue Management](../guides/queue-management.md) to learn how to implement YOLO11 for effective queue monitoring and analysis.
Yes, Ultralytics YOLO11 can be effectively used for monitoring workouts by tracking and analyzing fitness routines in real-time. This allows for precise evaluation of exercise form and performance. Explore our guide on [Workouts Monitoring](../guides/workouts-monitoring.md) to learn how to set up an AI-powered workout monitoring system using YOLO11.
Ultralytics YOLO11 can generate heatmaps to visualize data intensity across a given area, highlighting regions of high activity or interest. This feature is particularly useful in understanding patterns and trends in various computer vision tasks. Learn more about creating and using [Heatmaps](../guides/heatmaps.md) with YOLO11 for comprehensive data analysis and visualization.