Xailient Description
Stay informed about who is at your door with Xailient’s advanced Face Recognition Edge AI technology, which allows users to identify visitors with ease. The term CVOps refers to the enterprise-level processes, roles, and tools necessary for implementing Computer Vision solutions in real-world applications. Orchestrait stands out as the first-ever privacy-conscious Face Recognition system, leveraging cutting-edge Edge AI to comply with biometric data and privacy laws across various regions. It is crucial to gather information responsibly and with precision, and Xailient’s Privacy Safe Data Collection technology enables you to obtain only the essential data required. With Xailient’s Edge AI capabilities, the system can detect incoming movements from a distance of up to 8 meters, marking the initial stage for more comprehensive detection analysis. By incorporating these technologies, users can enhance their security measures and ensure a more efficient monitoring process.
Xailient Alternatives
ARGOS Identity
ARGOS is a platform for AI-powered digital identity. We are revolutionizing the way identity is experienced around the world. We create essential identity solutions for individuals and businesses to ensure the security of digital ecosystems worldwide. We provide services that help you identify Anyone, Anywhere, Anytime!
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Ango Hub
Ango Hub is an all-in-one, quality-oriented data annotation platform that AI teams can use. Ango Hub is available on-premise and in the cloud. It allows AI teams and their data annotation workforces to quickly and efficiently annotate their data without compromising quality.
Ango Hub is the only data annotation platform that focuses on quality. It features features that enhance the quality of your annotations. These include a centralized labeling system, a real time issue system, review workflows and sample label libraries. There is also consensus up to 30 on the same asset.
Ango Hub is versatile as well. It supports all data types that your team might require, including image, audio, text and native PDF. There are nearly twenty different labeling tools that you can use to annotate data. Some of these tools are unique to Ango hub, such as rotated bounding box, unlimited conditional questions, label relations and table-based labels for more complicated labeling tasks.
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Rank One Computing (ROC)
Experience unparalleled speed, precision, and adaptability with the only automatic license plate recognition system that expands to meet your requirements, entirely developed by Rank One Computing. Our advanced ALPR software can effortlessly identify and read license plates from images or video footage taken on any device, effectively handling difficult situations such as poor lighting, rapid motion, or skewed angles. Benefit from extensive search capabilities through a system that can provide approximate matches for license plates, even when the input is flawed or only partially captured. Following an incident, easily sift through surveillance recordings to locate a known vehicle using its license plate. From law enforcement to commercial security and federal investigations, our license plate recognition technology is relied upon by industry leaders both nationally and globally, ensuring safety and efficiency in vehicle monitoring. This innovative tool not only enhances security measures but also streamlines investigative processes for various applications.
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Amazon Rekognition
Amazon Rekognition simplifies the integration of image and video analysis into applications by utilizing reliable, highly scalable deep learning technology that doesn’t necessitate any machine learning knowledge from users. This powerful tool allows for the identification of various elements such as objects, individuals, text, scenes, and activities within images and videos, alongside the capability to flag inappropriate content. Moreover, Amazon Rekognition excels in delivering precise facial analysis and search functions, which can be employed for diverse applications including user authentication, crowd monitoring, and enhancing public safety.
Additionally, with the feature known as Amazon Rekognition Custom Labels, businesses can pinpoint specific objects and scenes in images tailored to their operational requirements. For instance, one could create a model designed to recognize particular machine components on a production line or to monitor the health of plants. The beauty of Amazon Rekognition Custom Labels lies in its ability to handle the complexities of model development, ensuring that users need not possess any background in machine learning to effectively utilize this technology. This makes it an accessible tool for a wide range of industries looking to harness the power of image analysis without the steep learning curve typically associated with machine learning.
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Company Details
Company:
Xailient
Year Founded:
2019
Headquarters:
Australia
Website:
xailient.com
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Product Details
Platforms
Web-Based
Types of Training
Training Videos
Customer Support
Online Support
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