Dynamic Toll Charge using openCV and Spark

Efficient Dynamic Multiple GPGPU Layer for OpenCV

General purpose graphic processing unit (GPGPU) provides high performance resource for computing. CUDA (Compute Unified Device Architecture) and OpenCL (Open Computing Language) permit writing of parallel computing programs that utilize multiple central processing units (CPU) and GPGPUs. The image processing library, OpenCV (Open Source Computer Vision library), may benefit greatly from paralle...

Visual speech detection using OpenCV

Visual information from the human face; lip-movements and tongue provide us with lots of information about the spoken message and helps in understanding the verbal communication. The visual speech detection overcomes some of the persistent problems and inaccuracies encountered by users that creep in when there is background noise. In noisy environment we pay more attention to the lips which dra...

Handwritten digits recognition using OpenCV

The automated recognition of handwritten digits is a largely studied problem which connects the fields of Computer Vision and Machine Learning and has many applications in real life. In this project, I detail an introductory investigation of the performance of classification in several contexts. Namely, relying on the OpenCV implementations of k-Nearest Neighbor, Random Forests, and Support Vec...

Learning OpenCV

Computer Vision ”See and Avoid” Simulation using OpenGL and OpenCV

In order to maintain safe flying environments and avoid disastrous midair collisions, the U.S. Federal Aviation Administration mandates that pilots must ”See and Avoid” other aircraft. This work develops a See-And-Avoid SAA) system for autonomous Unmanned Aircraft Systems (UAS) and present a novel approach to implement SAA capabilities using simulated cockpit video and computer vision algorithm...