Computer Vision and Image Analysis
Computer vision and image analysis is the process of finding actionable information from image data. Images hold a lot of information. This information can be easy for a human to process but has historically been difficult for computers to make sense of. However, with the powerful AI of today, advanced computer vision and image analysis are possible.
What Does It Include?
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Image processing
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Image segmentation
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Face recognition
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Emotional analysis
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Optical character recognition
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Contextual image classification and many others
What Can You Do With It?
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Detect objects within images so you can gain important insights very quickly
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Annotate images – annotate measurements or key features on an image. For example, on an image of a face, you could annotate the distance between the eyes, the width of the nose bridge, and so on.
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Classify images – What type of image is it? What’s the subject? What’s the context?
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Object tracking – How has an object moved through a series of images.
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Develop biometric products.
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Emulate human insight into images – Humans are great at understanding images, but tasking humans with analyzing image after image is extremely time-consuming and inefficient. Image analysis solutions can do this in a matter of seconds.
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Label images so they can be categorized
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Recognize faces in images separate to other objects
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Surveillance – Facial recognition is an important part of the surveillance industry
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We developed artificial intelligence drones and a drone-based application for a city municipality that detects and reports 25 construction debris types. The solution considerably automatized the construction site inspections process, significantly reducing human involvement and average inspection costs. According to customer estimates, the system saves 320 man-hours per month, reducing average inspection costs by 40%.
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How Trash objects detection from a drone can halve the overall detection and collection cost
For a large semi-government organization, we developed a system to detect litter objects from images captured from a drone and manage trash collection activities. We designed and developed a GIS-based application allowing convenient interaction with detected litter objects as well as facilitating trash collection activities via optimal route planning and tracking of the collection progress. That resulted in significant cost savings halving the overall detection and collection costs. The collection time decreased by a factor of 4, while the automated computer vision solution achieved 7% higher detection accuracy than a human expert. Additionally, drone for inspection reduced carbon footprint by…
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- Core Machine Learning
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How Artificial Intelligence can help with Traffic Analysis | AI in Road Traffic Safety Management System
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Availability of high-quality hyperspectral satellite imagery data unveils a new way of observing and monitoring the Earth. As part of our company’s social responsibility activities, we developed an environmental monitoring solution based on satellite imagery analysis. The technology is based on an award-winning solution recognized by IEEE society. It allows us to identify objects on satellite images with very high accuracy. Detected objects can include but are not limited to: trees, cars, trains, buildings and identify coastal and sea debris, oil spillage, and other human activities results.
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We developed a service that extracts data from different types of invoices. Our service allowed the customer to automate the data entry process, ultimately saving 850 man-hours per month and decreasing the recognition error-rate by half.
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