Google Cloud Vision AI
Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more. Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy. Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Vision’s easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge. Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.
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Sighthound
Sighthound's AI-Powered video solutions unlock the power of your data, resulting in valuable user insights, reduced operational cost, and increased revenue for the privacy and vehicle recognition space. State-of-the-art deep learning solutions from Sighthound's own computer vision research lab. Patented technology that tops commercial and academic benchmarks. Detect vehicles from static or moving cameras and return the make, model, color, and generation of any vehicle sold from 1991 onwards. Read plates from most countries in the world, reporting the alphanumeric characters and region for US, Canada, and major EU countries. Distinguish between vehicles, trucks, buses, motorbikes, people, bicycles, and license plates and track them throughout a video.
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FindFace
NtechLab platform processes video and recognizes human faces, bodies and actions, as well as cars and plate numbers. AI-powered technology enables record breaking accuracy and high speed of recognition. The multi-object and analytical capabilities of FindFace Multi unlock new scenarios for responding challenges of public sector and business. FindFace Multi quickly and accurately recognizes faces, human bodies, cars, and license plate numbers in a live video stream or in a video archive. Searching for faces, bodies, and vehicles in a database or in an archive is available both by a photo sample and by specific features, for example, by age, clothes color, or vehicle model. NtechLab developers are constantly improving recognition algorithms, increasing their performance and accuracy. With FindFace Multi it takes less than a second to detect a face in a video stream, recognize it, and search for a match in a database with billions of images.
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ByteScout Text Recognition SDK
Text Recognition is the process of detecting and converting images or documents (e.g. PDF) that contain typed or printed text into a computer encoded text using OCR (Optical Character Recognition) process powered by Machine Learning and AI. Automates tedious tasks such as data entry from specific documents such as driver licenses, passports, receipts, technical documents, bank statements, etc. Functions to specify rectangular areas of an image those are subject to the recognition with optional rotation and flipping. We combine very sophisticated technologies with any tools you’ll find on the website. We make our SDKs respond to your needs. If you are looking for tutorials and explanations, source codes and documentation will give you a better understanding of what is going on.
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