According to Markets and Markets, in the realm of computer vision, software is expected to hold a significant share of the market and grow at a higher CAGR during the forecast period. This is because, when combined with a suite of computer vision software, software tools can enable individuals to interface with a camera and production line, enabling automatic image improvement, location analysis, flaw detection, character verification, character recognition, symbol recognition, and a variety of other functions. This emphasises the significance of computer vision software in optimising and automating numerous business operations.
In recent years, the field of computer vision has experienced a tremendous surge in popularity and use. It is a valuable tool for business looking to optimise their operations or add new offering to their porfolio. According to a McKinsey analysis, just adopting AI is not enough; rather, total optimization is required for firms to get their intended results. Image and video analysis, object recognition, motion analysis, and augmented reality are some of the areas where computer vision has grown significantly. As computer vision evolves, new commercial use cases develop, allowing businesses to optimise their processes, improve their goods and services, and gain a competitive edge. DAD.digital has a team of specialists ready to assist organisations in unlocking the potential of computer vision and exploring customised AI use cases to assist them in growing and excelling.
Detection and tracking of a football to assess the accuracy and speed of a shot (combined with analytical computer vision algorithms to detect the goalposts and evaluate the ball’s distance from the camera).
Using computer vision to segment images and background. Apart from training the network, we worked on data augmentation and further data processing (in a multi-camera setup).
Using 3D reconstruction and multi-camera processing for detection and tracking of pose key points for assessing the correctness of physical exercises (weights lifting, skiing) – now we are extending this towards occlusion-aware 3D pose estimation.
Audit and optimization of a custom architecture for classifying persons into beauty types (one of six)
Implementing vehicle detection and tracking to extract real-life training scenarios for AI components used in autonomous vehicles.
Training in optimization of the person detector with a re-identification model across different cameras, bus passenger counter, training in the detector of damaged car parts based on artificially introduced damages through data augmentation.
DAC.digital is a leading R&D based DeepTech company in Europe. Our team of in-house experts and professionals are at the forefront of computer vision technology development and its application for businesses. Our methodical approach guarantees that both parties have a profitable and prosperous trip. Our team has worked on several successful computer vision projects, including object detection and recognition, motion analysis, and augmented reality.
We have a solid track record of innovation in every aspect of product development, from original concept through end-of-life maintenance, in addition to our experice in computer vision. We provide free discovery workshops led by our in-house specialists to assist our clients in identifying viable computer vision technologies and developing a path to achieve their technical objectives.
80
Computer vision technology has been available for a while, but its potential for real-world commercial applications has recently skyrocketed. As CTO, I am thrilled that our team is committed to innovation and R&D. We are well-equipped to assist business like yours in effortlessly integrating computer vision technologies. Whether you want to improve your processes, products, or services, our team can walk you through the full process, from discovery and assessment to implementation. You can rely on us to produce hassle-free and timely outcomes.