Fractal Analytics Description
You can uncover valuable insights by accurately recognising objects in images or videos. AI can be used to drive value in many areas, including spotting products in the right spot in shopping aisles and surveilling people at events in real-time. You can perform in-depth analysis by placing image objects in the right segments. Insurers can use AI-based algorithms to analyze auto and home damage to make more accurate claims. Get instant insights and take action when it is most important. AI algorithms allow for real-time processing, which can be used for many valuable purposes, such as face recognition. You can identify customer behavior from video and see it in real time. AI can reveal how customers interact and engage with brands and products to provide better experiences. AI-based analytics can be applied to satellite images to detect traffic in real time, analyze parking lots, segment buildings, and more.
Fractal Analytics Alternatives
Arcas
BigBear.ai transforms data analysis at the edge by integrating computer vision, predictive analytics, and event alerting technologies. Utilizing artificial intelligence and machine learning, our sophisticated systems analyze extensive datasets to reveal insights that surpass human capabilities, thereby effectively addressing areas of uncertainty and enhancing situational awareness. Arcas compiles millions of data points to improve situational understanding and fuels predictive analytics through the application of AI and machine learning. It adeptly processes video feeds and produces instant alerts when it identifies any anomalies. With our flexible analytics framework, Arcas not only reviews past occurrences but also forecasts upcoming trends, enabling decision-makers to act with certainty. Furthermore, it allows for the seamless integration of various data sources, including sensors and edge devices, creating a cohesive format that is easily accessible for all users. This comprehensive approach empowers organizations to stay ahead of potential challenges and seize opportunities as they arise.
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Azure Computer Vision
Enhance the visibility of your content, streamline the extraction of text, perform real-time video analysis, and develop widely accessible products by integrating visual capabilities into your applications. Leverage visual data processing to tag content with various objects and ideas, pull text from images, produce descriptions for visuals, regulate content, and track movements of individuals in physical environments. You don't need to have any knowledge of machine learning to get started. This approach opens up new possibilities for innovation and user engagement.
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Google Cloud Natural Language API
Machine learning can provide insightful text analysis that extracts, analyses, and stores text. AutoML allows you to create high-quality custom machine learning models without writing a single line. Natural Language API allows you to apply natural language understanding (NLU). To identify and label fields in a document, such as emails and chats, use entity analysis. Next, perform sentiment analysis to understand customer opinions and find UX and product insights. Natural Language with speech to text API extracts insights form audio. Vision API provides optical character recognition (OCR), which can be used to scan scanned documents. Translation API can understand sentiments in multiple languages. You can use custom entity extraction to identify domain-specific entities in documents. Many of these entities don't appear within standard language models. This allows you to save time and money by not having to do manual analysis. You can create your own machine learning custom models that can classify, extract and detect sentiment.
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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:
Fractal
Headquarters:
United States
Website:
fractal.ai/image-video-analytics/
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