AI Human Pose Estimation
Through AI-driven analysis of human body movement, pose estimation helps businesses monitor activity, improve safety, and unlock behavior insights. Whether it’s a smart city, a factory floor, or a healthcare facility, the ability to automatically detect and understand human poses in real time has become a game changer.
What Is Pose Estimation?
Pose estimation is a computer vision technique that uses AI algorithms to detect and analyze human body positions, postures, and movements from images or video frames.
Unlike simple object detection, which only recognizes what an object is, pose estimation goes further — it determines how that object (in this case, a person) is positioned.
For example, it can identify whether a person is:
- Standing
- Sitting
- Lying down
- Walking
- Falling
- Getting up
This makes pose estimation an essential part of advanced AI surveillance systems, smart city monitoring, and even medical rehabilitation platforms.
Pose estimation algorithms can detect a person’s body keypoints (like elbows, knees, or shoulders) with over 90% accuracy, even in low-light environments or partial occlusion.
Incoresoft’s Pose Estimation Module
Key Capabilities:
- Detects multiple human poses (standing, sitting, lying, walking, falling).
- Works with different video sources and supports multi-camera integration.
- Logs events with date, time, and detected pose.
- Offers flexible user access levels and data filtering in archives.
- Supports major databases: MySQL, PostgreSQL, MS SQL, Oracle.
- Exports data to EXCEL, PDF, CSV, JSON formats.
- Includes a business logic constructor for custom automation.
- Available in a cross-platform, multilingual interface.
Incoresoft’s software performs exceptionally well in low-bandwidth environments and can operate seamlessly with existing surveillance systems—making it ideal for retrofitting older CCTV infrastructures with AI intelligence.
Advantages of Incoresoft’s Pose Estimation Module
Feature |
Benefit |
|---|---|
|
Multi-frame analysis |
Reduces false positives and increases accuracy. |
|
Rule-based event creation |
Fully customizable detection logic. |
|
Cross-database compatibility |
Flexible integration with existing systems. |
|
User-friendly configuration |
Non-technical staff can manage setup easily. |
|
Data search and filtering |
Quickly locate recognition data in archives. |
|
Modular architecture |
Works alongside other Incoresoft analytics modules. |
Advantages of Incoresoft’s Pose Estimation Module
Detection of a person in each position, such as: sitting down, lying down, standing, walking, falling, getting up
Module records the events, date, and time of a person detection
User-friendly settings
- 01 Captures and detects a person in every position — lying, standing, sitting, falling, getting up
- 02 Determines human position according to specified parameters
- 03 Generates events based on human identification rules
- 04 Supports multiple sources of video data for flexible integration
- 05 Provides flexible access rights for different user groups
- 06 Enables search and filtering of recognition data within the archive
- 07 Supports major databases — MySQL, PostgreSQL, MS SQL, Oracle
- 08 Allows database import (CSV) and export (Excel, PDF, CSV, JSON)
- 09 Includes a business logic constructor for custom workflows
- 10 Cross-platform and multilingual interface for global deployment
How Incoresoft Heat Map works
01
Data collection: The system receives input from CCTV or camera sources.
02
Body Keypoint Detection: AI algorithms identify crucial body joints and connect them to form a skeleton-like structure.
Pose Classification: The model determines the person’s pose (standing, sitting, lying, falling, etc.).
03
04
Event Triggering The system sends alerts or logs data according to predefined rules.
Types of Pose Estimation
Type |
Description |
Use Case Example |
|---|---|---|
|
2D Pose Estimation |
Detects keypoints on a 2D plane. |
Basic surveillance, activity monitoring. |
|
3D Pose Estimation |
Reconstructs movement in 3D space. |
Sports analysis, robotics, and AR/VR. |
|
Hand Pose Estimation |
Focuses on fingers and hand joints. |
Gesture recognition, sign language interpretation. |
|
Head Pose Estimation |
Tracks head direction and tilt. |
Driver monitoring, fatigue detection systems. |
Directions
Why Choose Incoresoft for Pose Estimation Solutions?
When you choose Incoresoft, you’re partnering with a team that has deep expertise in AI-driven video analytics, data security, and urban infrastructure optimization.
Top Reasons:
- Proven performance: Validated in over 50 smart city deployments worldwide.
- Scalable technology: From a single building to nationwide infrastructure.
- Customizable AI models: Adaptable to unique project needs.
- Data security compliance: Meets GDPR and local data protection standards.
- Reliable support: Continuous updates and technical assistance.
FAQs
Pose estimation is an AI technique that detects and interprets human body positions, identifying movements like standing, sitting, or falling.
2D pose estimation tracks movements on a flat plane, while 3D captures depth, offering a more detailed view of human posture and motion.
With modern AI frameworks, real-time accuracy can reach over 98%, depending on the camera setup and environment.
Yes. Solutions like Incoresoft’s module can integrate with current infrastructure using standard video feeds.
Industries like healthcare, manufacturing, transportation, retail, and public safety benefit most from this technology.
Yes. Optimized AI models can run on edge devices or moderate servers using GPU acceleration.
It detects unusual or dangerous postures (like falls or prolonged inactivity) and triggers alerts for immediate response.
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