Sumithra Ganapathi

Title: **Sumithra Ganapathi: Innovator in Video Surveillance Technology**

Introduction

Sumithra Ganapathi is a notable inventor based in Chennai, India. He has made significant contributions to the field of video surveillance through his innovative patent. With expertise garnered from prestigious organizations, he has developed a technology that enhances the classification of moving objects, making strides in security and surveillance applications.

Latest Patents

Sumithra holds a patent titled **"System and method for classification of moving objects during video surveillance."** This invention encompasses a system designed for classifying moving objects captured via video surveillance. The process involves capturing a silhouette image of a moving object, resizing this image, and computing its average height-to-width ratio as well as its center of gravity. By dividing the resized image and comparing the average height to average width of the object, as well as the variance of the center of gravity with a predetermined threshold, the system effectively classifies the object into specific categories based on predetermined classes.

Career Highlights

Throughout his career, Sumithra has worked with renowned companies such as Tata Consultancy Services Limited and Anna University. His experiences in these reputable organizations have contributed to his professional growth and innovation drive.

Collaborations

Sumithra has collaborated with skilled individuals such as Behram Sethna and Mala John. Their teamwork and collective expertise have played a crucial role in the development of effective solutions within the domain of video surveillance technology.

Conclusion

Sumithra Ganapathi is a remarkable inventor whose work in the classification of moving objects during video surveillance showcases his creativity and technical skills. His patent not only highlights his innovative spirit but also promises to enhance security measures globally. As technology evolves, contributions like those of Sumithra serve to shape the future of surveillance applications.