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Includes Web API for third-parties integrations. Has a responsive design and optimized for both desktop and mobile devices. Can be customized with your branding and extended to integrate with your existing environment. Integrates reporting and on-demand data collection features. Provides users with a central point access to all data and actions based on their group or individual permissions. Web portal for customers and mobile users Provides facility for remote smart meters and other devices to report their data and statuses. On demand read of remote meters might be initiated by users. A separate flexible schedule for automatic data collection might be defined for any customer.
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Meter data collection, management and analysisĬollects data directly from meters or imports it from other sources. Certified as an industrial solution in heating, utilities, oil and gas by Federal Agency on Technical Regulating and Metrology of Russia. Offers simple licensing schema with no limits on your users and customers count. Supports on-premise, cloud, hosted and SAAS usage. Professor Zisserman commented `this project really benefitted by being able to bring together the expertise from Oxford and DeepMind'.Provides comprehensive set of solutions for automatic meter reading, data management and analysis. The research team comprised of Joon Son Chung and Professor Andrew Zisserman at Oxford, where the research was carried out, together with Dr Andrew Senior and Dr Oriol Vinyals at DeepMind. There are also a host of other applications, such as dictating instructions to a phone in a noisy environment, dubbing archival silent films, resolving multi-talker simultaneous speech and improving the performance of automated speech recognition in general.'
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AI lip-reading technology would be able to enhance the accuracy and speed of speech-to-text especially in noisy environments and we encourage further research in this area and look forward to seeing new advances being made.'Ĭommenting on the potential uses for WAS Joon Son Chung, lead-author of the study and a graduate student at Oxford's Department of Engineering, said: 'Lip-reading is an impressive and challenging skill, so WAS can hopefully offer support to this task - for example, suggesting hypotheses for professional lip readers to verify using their expertise. 'It is great to see research being conducted in this area, with new breakthroughs welcomed by Action on Hearing Loss by improving accessibility for people with a hearing loss. Speaking on the tech's core value, Jesal Vishnuram, Action on Hearing Loss Technology Research Manager, said: 'Action on Hearing Loss welcomes the development of new technology that helps people who are deaf or have a hearing loss to have better access to television through superior real-time subtitling. The software could support a number of developments, including helping the hard of hearing to navigate the world around them. The machine's mistakes were small, including things like missing an "s" at the end of a word, or single letter misspellings. The human lip-reader correctly read 12 per cent of words, while the WAS software recognised 50 per cent of the words in the dataset, without error. They found that the software system was more accurate compared to the professional. The research team compared the ability of the machine and a human expert to work out what was being said in the silent video by focusing solely on each speaker's lip movements. The videos contained more than 118,000 sentences in total, and a vocabulary of 17,500 words.
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The AI system uses computer vision and machine learning methods to learn how to lip-read from a dataset made up of more than 5,000 hours of TV footage, gathered from six different programmes including Newsnight, BBC Breakfast and Question Time. Watch, Attend and Spell (WAS), is a new artificial intelligence (AI) software system that has been developed by Oxford, in collaboration with the company DeepMind.