Pose Estimation
Boost safety and insights with AI Pose Estimation. Monitor activity, detect human poses in real time, and unlock valuable behavior data for smart cities, factories, and healthcare.
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Advantages of Incoresoft’s Pose Estimation Module
Captures and detects a person in every position - lying, standing, sitting, falling, getting up
Determines human position according to specified parameters
Generates events based on human identification rules
Supports multiple sources of video data for flexible integration
Provides flexible access rights for different user groups
Enables search and filtering of recognition data within the archive
Supports major databases - MySQL, PostgreSQL, MS SQL, Oracle
Allows database import (CSV) and export (Excel, PDF, CSV, JSON)
Includes a business logic constructor for custom workflows
Cross-platform and multilingual interface for global deployment
How It Works
Data collection
The system receives input from CCTV or camera sources.
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.).
Event Triggering
The system sends alerts or logs data according to predefined rules.
Works With Your Existing Stack
Deploy alongside your current cameras, hardware, and VMS - no forklift upgrade required.
IP Cameras
Any ONVIF / RTSP stream
VMS Platforms
Native plugin & SDK support
Edge Hardware
GPU-accelerated inference
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
Types of Pose Estimation
Directions
Safe City
Enhance urban safety and emergency response with intelligent body movement detection. The Pose Estimation module automatically identifies unusual postures—such as a person lying or falling in public areas—allowing authorities to react quickly and prevent potential accidents or emergencies.
Retail
Understand customer behavior and improve operational efficiency. Pose Estimation helps analyze visitor movement, detect inactivity near service zones, and prevent accidents in high-traffic retail areas. It also supports queue management and crowd monitoring for a smoother shopping experience.
Industry
Boost workplace safety and efficiency in production environments. The system detects falls, inactivity, or abnormal movements among employees in restricted or hazardous zones, triggering instant alerts and helping supervisors prevent injuries or downtime.
Education
Improve student and staff safety on campuses with AI-based pose recognition. The module helps security teams detect abnormal activity, monitor crowds in hallways or events, and identify emergency situations like fainting or falling in real time.
Public Transportation
Strengthen passenger safety in stations, airports, and terminals. Pose Estimation identifies people who have fallen, remain motionless, or behave abnormally—helping staff respond to medical or security incidents quickly and effectively.
Private Property
Protect residential and commercial properties with intelligent video analytics. The module recognizes unusual postures or movements, such as a person lying down in restricted areas, indicating potential intrusion, distress, or unauthorized access.
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.
Frequently Asked Questions
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