Computer Vision

KUNGFU.AI researched this problem set, and identified a better model that had the capability to produce better object detection results.

KUNGFU.AI and Clerk's study resulted in identifying six distinct labels, several of which were vital in unlocking performance improvements.

Creating an automated detection system for Waste Management to detect oncoming vehicles that pose risk for the riders could reduce injuries and save lives.

KUNGFU built a hybrid model, leveraging client’s existing cloud APIs, a custom YOLOv3 boundingbox detection algorithm, and a Generative Adversarial Network (GAN) model to enhance and extract appropriate textual data from receipts.

We created a system that uses content classification and computer vision algorithms (CNN and OCR) to extract data from their offer contracts.

We trained models to identify a subset of rare coins with over 90% accuracy with a roadmap to higher accuracy and multiple business use cases for deployment.