Betaface
We offer ready-to-use components such as face recognition SDKs as well as custom software design services and hosted web services that focus on image and video analysis, faces, and objects recognition. Our technology is used by video and image archives, web advertising, entertainment projects, media content producers and video surveillance and security solutions. It also has applications for end users and b2b developers. The Betaface facial recognition suite includes complex operations such as face detection, identification, verification or 1:1,1:N matching, biometric measurements, facial analysis, face tracking on video, age and gender recognition, facial features and shape description, hairstyle analysis, and hairstyle color detection. Our technology is used in video and images archives, entertainment projects, and web advertising.
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Amazon Rekognition
Amazon Rekognition allows you to easily add image and video analysis into your applications using proven, highly-scalable, deep learning technology that does not require any machine learning expertise. Amazon Rekognition allows you to identify objects, people and text in images and videos. It also detects inappropriate content. Amazon Rekognition can also be used to perform facial analysis and facial searches. This is useful for many purposes, including user verification, people counting, public safety, and other uses.
Amazon Rekognition Custom Labels allow you to identify objects and scenes in images that meet your business requirements. You can create a model to help you classify machine parts or detect plants that are sick. Amazon Rekognition Custom Labels does all the heavy lifting for you.
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Cloudastructure
Allows for a live, unified view of multiple sites on any device. History can be retrieved up to 10x faster that traditional on-premises systems. The first cloud-native platform for video surveillance with AI and computer vision analytics. This platform provides better and more cost-effective enterprise protection. Security risks eliminated, no video or data are stored or accessed over the network. It is possible to significantly reduce IT server management costs and maintenance costs when compared to hybrid or on-premises systems. Site management is simplified and can be centralized. Scales to unlimited locations and cameras. Cloud video surveillance systems can be easily managed, used, and installed. Setup is easy thanks to the user-friendly interface. You don't need any technical skills. Advanced vehicle and person detection, counting, classifications, license plate recognition, wrong way detection, etc. Search by social distance violation to find out how many people are located in space and their distance.
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Google Cloud Vision AI
AutoML Vision provides insights from images at the edge and cloud. Pre-trained Vision API models can also be used to understand text and detect emotion. Google Cloud offers two computer vision products, which use machine learning to help understand your images with an industry-leading prediction accuracy. Automate the creation of custom machine learning models. Upload images, train custom image models using AutoML Vision's intuitive graphical interface, optimize your models for accuracy and latency, and export them to your cloud application or to a range of devices at the edge. Google Cloud's Vision API provides powerful pre-trained machine-learning models via REST and RPC APIs. Assign labels to images and classify them quickly into millions of predefined groups. Detect faces and objects, read printed and handwritten texts, and add valuable metadata to your image catalog.
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