Krishnamohan Pathicherikollamparambil

Title: Innovations of Krishnamohan Pathicherikollamparambil

Introduction

Krishnamohan Pathicherikollamparambil is an accomplished inventor based in Salt Lake City, UT (US). He has made significant contributions to the field of technology, particularly in video classification and vehicle color estimation. With a total of 2 patents, his work showcases innovative approaches to solving complex problems.

Latest Patents

One of his latest patents focuses on classifying video. This invention extends to methods, systems, and computer program products for classifying video. In this aspect, a model is trained to classify video using a reference model capable of identifying signals from a plurality of signal classes. This model utilizes tagged training data to train a signal class-specific model, which is more resource-efficient than the reference model. The signal class-specific model can be deployed to an event detection infrastructure or other devices, allowing for the classification of frames from video streams.

Another notable patent involves estimating the color of vehicles on a roadway. This invention also extends to methods, systems, and computer program products for estimating vehicle color from captured imagery, such as frames of a video stream. The imagery can be captured by various types of cameras, including traffic cameras and CCTV, under different operating conditions. Color confidence scores are derived based on image characteristics, enhancing the accuracy of vehicle color estimation.

Career Highlights

Krishnamohan currently works at Banjo Corporation, where he applies his expertise in technology and innovation. His role at the company allows him to further develop his inventions and contribute to advancements in the field.

Collaborations

Some of his coworkers include Joshua J Newman and Ravi Shankar Kannan, who collaborate with him on various projects and innovations.

Conclusion

Krishnamohan Pathicherikollamparambil is a notable inventor whose work in video classification and vehicle color estimation demonstrates his commitment to innovation. His contributions continue to impact the technology landscape positively.