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Showing posts from October, 2020

Automatic License Number Plate Detection & Recognition Using Deep Learning

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Automatic number-plate recognition is a technology that uses optical character recognition on images to read vehicle registration plates to create vehicle location data. This video demonstrates the same. For Free Consultation visit  https://bit.ly/3jf8nF0 A demo of a Automatic Number Plate Recognition (ANPR) for Indian licence plates using Deep Learning. The Detector is trained by fine tuning MobileNet SSD. The character recognizer is a pre-trained LSTM model trained on EMNIST data set based on the repository https://github.com/Deevoluation/ALPR .

Importance of Big Data in Healthcare | AI in Health Care

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 For Free Consultation According to marketresearchfuture, the global big data in the healthcare market is expected to reach US$ 17,278.13 million by 2022, and the market is projected to grow at a CAGR of 20.69 % during the forecast period 2015-2022. Big data in healthcare is overwhelming not only because of its volume but also because of its diversity (clinical and financial). With understanding the trends and the patterns within the data, healthcare systems can improve the quality care of patients and curb healthcare costs. The pharmaceutical and biotechnological companies are harnessing the power of big data for product cross-selling, financial risk management, regulatory compliance management, and others.  Big data analytics in pharmaceutical manufacturing  will also help to better the forecast production demand, understand the plant’s performance, and provide faster support services to the customers. The increasing supply of health-related data from various sources ha...

Top 5 Benefits of Artificial Intelligence Integration With IoT - AI Solution Providers In Europe | US | India

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For Free Consultation  Gartner  expects that more than 80%of enterprise IoT will have some degree of AI. In the AI in IoT market by technology, the ML and  deep learning technology  segment to hold a larger market size during the forecast period. ML can become a robust analytical tool for vast volumes of data. The combination of ML and edge computing can filter most of the noise collected by IoT devices and leave the relevant data to be analysed by edge and cloud analytic engines . Internet of Things (IoT) is a growing network of objects that has its own IP address to connect to the internet along with the communication between these physical objects. The AI in IoT market is gaining acceptance globally, owing to its rising demand by industrial sectors, enterprises, companies, and business that have already implemented or are in the process of implementing AI in IoT to efficiently manage work. AI is playing a vital role in IoT as the former has secured its place in nu...