ABTO Software computer vision 2016
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The corporate presentation with a focus on our computer vision expertize
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ABTO Software computer vision 2016
- 1. Computer Vision & Data Science – 2016
- 2. 150 CLIENTS 250+ PROJECTS 10YEARS in software development business 180 EMPLOYEES We are a global provider of software engineering services with expertise in the field of computer vision, data science and science-intensive solutions Representative Office 2 Engineering Centers Microsoft GOLD CERTIFIED Partner Joint projects with the largest Universities in Western Europe 3out of 4customers choose us for long-term partnership ABTO Software Facts
- 3. Our Expertise • Image recognition and processing • Video processing and analysis • 3D data acquisition and scene reconstruction • Structure from motion (SFM) • Simultaneous localization and mapping (SLAM) • Object counting and quantification • Pattern recognition • Facial detection and recognition • Pose estimation and gesture recognition • Eye & gaze tracking • Optical character recognition (OCR) • Machine learning techniques • Interpretation of video and image content based on learning from sample data
- 4. Online & Social Media Healthcare Security & Surveillance Manufacturing & Retail Banking & Finance Education & Learning Construction & Real Estate Areas of Application
- 5. Healthcare • Biometrics • Medical image analysis • Computer vision for sensory substitution • Statistical data processing & modeling Our Featured Solutions ABTO Software created a software for blood analysis on pathological tissues for breast cancer treatment. The software works as a framework for white blood cell segmentation in microscopic blood images using digital image processing. It makes possible to detect certain image features on a sizable image from a microscope, apply SVM classifier to calculate input image features and create automatic reports on blood cell characteristics.
- 6. Security & Surveillance • Face recognition solution • License plate recognition • Vehicle detection and recognition • Object tracking and counting Our Featured Solutions We created our own algorithm for facial recognition based on individual features recognition to verify personal data and identify a person.
- 7. , ...) Automated recognition and measurement of 3D objects Construction & Real Estate Our Featured Solutions We developed a Phantom Scanner, a solution for enterprise needs that employs virtual reality and natural scene annotation. With this solution you can easily reconstruct a 3D scene model of the room on any mobile device by means of video and image processing, line and feature points detection and homographic matrix. • 3D scanning and rendering of objects • Creating 3D models from point-cloud data • 3D reconstruction from multiple photos • Processing image-distance data from depth cameras • Automated recognition and measurement of 3D objects
- 8. Manufacturing & Retail • 3D positioning, environment understanding • Software for improving quality of blurred, noisy captured images • Self-driving vehicles • Mobile robotics • industrial vision systems • active and real time vision • hardware for vision and image processing Object Counter is an automated counting system, based on slit imaging, which separates, detects the direction, and counts moving objects. This non-intrusive solution requires minimum additional resources with the measurement accuracy 99,5% .
- 9. Government & Finance • Facial recognition • License plate recognition • Handwritten text recognition • Image fraud detection • Software for improving quality of • blurred, noisy captured images Our Featured Solutions We created an image fraud detection software that allows for real-time content recognition with simultaneous automated image calibration and transfer of tags to content publishers and providers.
- 10. Education & Learning • Augmented and virtual reality software • Application-specific gaze & eye tracking systems Our Featured Solutions Our team developed a custom eye tracking software that captures natural human behavior and provides unbiased constant data stream. The software is used in such areas as psychology, education, marketing and other fields that involve processing data of human performance. It is a flexible suite perfect for qualitative and quantitative research in real- world environments (analysis programs) or in the lab settings (scenarios for integration with experiment centers).
- 11. Online & Social Media • Machine learning • Statistical estimation • Mobile communications Our Featured Solutions We created a video editing app is a tool that enables users to create, modify, and share clips across multiple social media sites and platforms online. Video analysis and object tracking technology are applied to video items. BotOrNot is our own mobile product that allows detecting fake followers on Twitter with high level of precision. Classification, clustering, data processing, information retrieval are effective in context of social network analytics.
- 12. R&D Projects In Progress • Predictive analytics • Speech recognition • Customer segmentation, Cross-sell, Customer retention • Demand forecasting • Patient scorecards • Digital health records • Image analytics
- 13. Food Scanner and Recognition App On My Plate is a mobile app which recognizes and calculates calorie intake from images of food items in real-time. The solution employs machine learning techniques and helps maintain everyday healthy lifestyle.
- 14. Contacts Email: office@abtosoftware.com Skype: abto.software USA - Representative Office San Francisco, CA, USA P.: +1.650.250.4555 HQs & Engineering Center Lviv, Ukraine P.: +38.097.952.1622 Engineering Center Uzhhorod, Ukraine
Notes de l'éditeur
- Machine Learning is a branch of artificial intelligence that builds systems which can learn from data. These systems can adapt to real-world usage and perform better than classic systems in many situations. Recent advances in Machine Learning technology allows us to extract features embedded in images or videos and use them as input parameters for machine learning algorithms. These algorithms learn from the input parameters and make assessments, classifications, identifications, decisions or predictions. During this learning process, a human trainer tags areas within multiple images and labels them according to his or her needs and goals. Based on mathematical and statistical analysis, the software creates a learning database it can use later to label objects in a new set of images. This labeling, also known as recognition reflects the statistical likelihood that a given visual element has matched a label in the learning database. <p>This learning process is useful for cases where the appearance of the features is not an exact match to a reference image even after the images have been processed and normalized.</p> <div class="cl"></div> <p>On the other hand, recognition of exact matches after normalization does not require Machine Learning.</p> Machine Learning can identify objects in one specific image or recognize actions based on changes in the object's state over time. The combination of learning algorithms, and features to be extracted, and the dataset used for learning is important to achieve the desired results because each type of classification can require its own features to be extracted and its own images for training. For example, a system can learn to identify dogs and differentiate them from cats. Or, classify dogs by breed such as Chihuahua, Bulldog or Poodle. Or classify dogs and cats as four-legged animals. Or identify an individual dog. We create practical ComputerVision applications using the latest research and breakthroughs in Machine Learning.