Amazon Rekognition
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.
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Cream
CREAM Finance is a DeFi ecosystem focused on providing lending, exchange, payment, and asset tokenization services. CREAM also operates a permissionless and open-source protocol so any other internet participant can be a part of the development of the network, instead of just using it or locking up funds in smart contracts for staking rewards. Financial inclusion is among CREAM'S primary goals. And the objective is to be able to achieve it without compromising the safety and security of each user and their assets. CREAM is established on the Ethereum blockchain, it can take advantage of smart contracts that can be used to run Ethereum Virtual Machines (EVM). Such a set-up also allows the CREAM project to have better composability than other DeFi projects. EVMs can also help community users develop their own decentralized applications (Dapps) on top of the network. However, there is very little detail on the community’s plans for such at the moment
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Pelagian Restaurant Billing
Pelagian Restaurant Billing software has been developed for beer bars, fast food corners, restaurants, sweet corners, bakeries, ice-cream parlors, hotels, cafeterias, pizzerias, homes, counters, clubs, corporate catering on the customized concept of KOT (Kitchen Order Token) system. The software allows making bills with and without the KOT system. This software provides a total item sale summary and daily sales summary without any burden. You can maintain stock regularly. Pelagian Restaurant Billing Software brings the complete solution for managing the restaurant in a faster and too easier way. This Windows-based software genuinely provides you with appropriate medium to fast entry and accurate output of desired input. We present your brief outline of this software which really helps you to understand it clearly. KOT will be split as per items serving the kitchen. like single order has multiple items that concern different kitchens will be directly sent to their kitchen printer.
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Azure Computer Vision
Boost content discoverability, automate text extraction, analyze video in real time, and create products that more people can use by embedding vision capabilities in your apps. Use visual data processing to label content with objects and concepts, extract text, generate image descriptions, moderate content, and understand people’s movement in physical spaces. No machine learning expertise is required.
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