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
- Construction
- CV
How construction debris detection from a drone can reduce inspection cost
We developed a drone-based application that was able to detect and report 25 different types of construction debris for a city municipality. The solution allowed to automatize the construction site inspection process while reducing human involvement and average inspection costs considerably. According to our customer estimates, the system saved 320 man-hours per month and reduced average inspection costs by 40%.
- CV
- Government
How trash object detection from a drone can halve the overall detection and collection cost
For a large semi-government organization, our team developed a system that detected litter objects from images captured by drones and helped to manage trash collection activities. We designed and developed a GIS-based application that allowed convenient interaction with detected litter objects and facilitated trash collection activities via optimal route planning and tracking of the collection progress. This resulted in significant cost savings, halving the overall detection and collection costs. Furthermore, the collection time decreased by a factor of 4 while the automated computer vision solution allowed a 7% higher detection accuracy compared to a human expert. Additionally, this system decreased…
- CV
- Generative Adversarial Networks
- Industry
- Pharmaceutical
- Technology
How Artificial Intelligence can help with Cancer Image Translation | AI in Medical Imaging
We developed an AI component that translates a medical image from one domain to another using AI Style Transfer Technique. The goal of the component is to enable re-use of existing software components and machine learning models that are employed to process a specific type of images i.e. images of tissues stained with one type of reagent across all other reagents.
- Core Machine Learning
- CV
- Government
- Industry
- Technology
How Artificial Intelligence can help with Traffic Analysis | AI in Road Traffic Safety Management System
We developed a road traffic analysis system for a system integrator executing a governmental project. The developed system can process video streams from traffic cameras and perform analysis of road scenes: detect objects and estimate their properties (trajectory, speed, etc.), identify traffic jams and violations, recognize car models and their license plates, and more. The system provides a safer environment for the city and the ability to monitor roads without human intervention.
- CV
- Space
- Technology
How Artificial Intelligence can help with Object detection from Satellites | AI in Satellite Object Detection
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.
- CV
- Industry
- NLP
- Oil and Gas
- Technology
How Artificial Intelligence can increase Process Efficiency | AI in Data Entry Processing
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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