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Detect and annotate poses in images and videos
Mediapipe, OpenCV, CVzone simple pose detection
Evaluate and pose a query image based on marked keypoints and limbs
Analyze images to detect human poses
Detect poses in real-time video
Generate pose estimates for humans, vehicles, and animals in images
Estimate 3D character pose from a sketch
Estimate human poses in images
Detect and estimate human poses in images
Track body poses using a webcam
Detect 3D object poses in images
Showcasing Yolo, enabling human pose detection
The Spine Deformity Detector is an innovative AI-powered tool designed to analyze images for the detection of spinal deformities. Utilizing advanced pose estimation technology, it assists in identifying irregular spinal curvatures, such as scoliosis, kyphosis, or lordosis. This tool is particularly useful for early detection and monitoring, providing a non-invasive and efficient solution for assessing spinal health.
• AI-Based Analysis: Leverages cutting-edge artificial intelligence to detect spinal deformities with high accuracy.
• Non-Invasive: Requires only an image input, making it a comfortable and risk-free option for patients.
• Precise Measurements: Delivers detailed analysis of spinal alignment and curvature.
• User-Friendly Interface: Designed for ease of use, enabling quick and straightforward image uploads and analysis.
• Cross-Platform Compatibility: Accessible on multiple devices, ensuring flexibility for both clinics and personal use.
What types of spinal deformities can the detector identify?
The Spine Deformity Detector is capable of identifying common spinal deformities such as scoliosis, kyphosis, and lordosis.
Can the tool be used for real-time analysis?
While primarily designed for image analysis, real-time capabilities are being explored for future updates.
Is the tool suitable for all age groups?
Yes, the detector is designed to analyze spinal images from individuals of all ages, making it a versatile tool for both pediatric and adult care.