AI-Based Machine Vision
By combining the power of AI with Machine Vision, we uncover deep insights in the physical world with people, objects & activities to help businesses make informed decisions.
Advanced AI Capabilities to Solve
Real-World Business Challenges
Video Analytics
- Intel® Xeon® processors – Zone24x7 were able to achieve levels of performance that previously were only possible with dedicated GPU processor based systems.
- Intel® Acceleration Stack with Intel® FPGA Programmable Acceleration Card – With the Intel Arria® 10 GX FPGA which leverages the OpenVino® toolkit ML/AI inference is performed efficiently at the edge.
- Intel® distribution of the OpenVino® toolkit – Zone24x7 scientists applied the Model Optimizer and the Benchmarking Tool (also from Intel) to their models to achieve substantial gains in performance.
Artificial Intelligence has opened new doors to improving how images are recognized, processed, and analyzed. A combination of well-tested Machine Learning and Computer Vision algorithms allows us to combine the power of AI with technology such as Optical Character Recognition (OCR), Intelligent Character Recognition (ICR), and Magnetic Ink Character Recognition (MICR). This helps us to drastically automate the image recognition process and uncover patterns and trends that would have otherwise remained hidden.
Our image recognition expertise helps us bring next-generation process improvement solutions to organizations around the world. Our solutions help with real-time motion and movement analysis that help identify bottlenecks while providing accurate recommendations for staff and resource allocation.
A few other use-cases of our image recognition expertise are License Plate Detection and AI-based Software For Check Scanners.
Image Recognition
Natural Language Processing (NLP) and Text Analysis
Having a wealth of data can turn into a problem if you do not know how to structure it correctly for analysis. Zone24x7 specializes in Text Mining where we use AI-based technology to transform unstructured data into something that can be processed by a Machine Learning algorithm.
Structured data can be integrated across multiple business units, providing meaningful insight into business operations. This data can also be used by Data Science teams for descriptive, prescriptive and predictive analytics which can provide valuable information related to possible business opportunities and threats.