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Genu-Valgum-Detection

What is Genu Valgum ?

Genu valgum, commonly called "knock-knee", is a condition in which the knees angle in and touch each other when the legs are straightened. Individuals with severe valgus deformities are typically unable to touch their feet together while simultaneously straightening the legs. The condition usually becomes apparent when a child is 2 to 3 years old, and it may increase in severity until about age 4. It usually self-corrects by the time a child is about 7 or 8 years old.

What causes this condition?

injury to or infection in your knee or leg. bone malformation from rickets, a disease caused by lack of vitamin D and calcium. other bone diseases. obesity, which puts extra pressure on your knees. arthritis in your knee joints.

How it can be treated?

Treatment for genu valgum depends on the cause and severity of your symptoms.For example, if rickets are causing your knock-knees, your doctor will likely prescribe vitamin D and calcium supplements to help restore your levels.

Detection using Computational Neural Networks

Attained an accuracy of 80-85% and beyond.

Detection using Resnet50

Studied the concept using ResNet50 and attained an accuracy of 75% and above.

Web Application using Streamlit

A web Application also made where you can upload your images and check whether a person suffering from genu valgum or not.

Detection using OpenCV :

1.Detecting keypoints using COCO Dataset
2.Joining the points.
3.Finding the angle between hip point, knee point, ankle point.
4.If the difference between the angle is more than 20 degrees then printing genu valgum.

Please Check the Video Demonstration above 👆.

Star 🌟 if you find it helpful.