Computer vision is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos. From the perspective of engineering, it seeks to understand and automate tasks that the human visual system can do. Computer vision tasks include methods for acquiring, processing, analyzing and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information.
we can deliver a personalized customer experience with our AI and Machine Learning solutions, automate your internal processes and implement solutions that will change the way customers interact with your product. Computer vision has wide array of applications - Ai facial recognition, video analytics ,smart city transportation
Deep learning methods can achieve state-of-the-art results on challenging computer vision problems such as: image classification, object detection, and face recognition.
We currently focus on image classification applications
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Binary Classification: Fraud detection in imagery, Pass/Fail quality control, and Med-Tech screening.
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Multiclass Classification: Complex object categorization, sentiment through facial expression, and species identification.
Model Evolution: We use K-Nearest Neighbors (KNN) for rapid baseline prototyping and Convolutional Neural Networks (CNNs) for high-accuracy production environments.
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