AI Vision: Turn Pictures into Data—Transform Insights into Action
A computer vision solution that analyzes and classifies images based on user-defined parameters, turning image data into actionable insights. It simplifies traditional data science workflows, making it accessible to non-technical users and empowering organizations to drive operational outcomes through easy-to-use, reportable data.
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THE PROBLEM
Harnessing Unstructured Data and Achieving Scalability
- Complexity - Traditional computer vision processes require advanced knowledge of data science, algorithm development, and infrastructure management, making them costly and inaccessible to most businesses.
- Unstructured Image Data - Businesses generate and store vast amounts of image data that remain underutilized due to the lack of tools to process and analyze it efficiently.
- Scalability - Managing large-scale image classification projects is resource- intensive and difficult to extend across different use cases.
The Result - Our accelerator simplifies image analysis, delivering structured, actionable data that’s easy to manage, query, and scale.
THE SOLUTION
What Makes Our Accelerator Unique
- Simplified Computer Vision
- Simplify the image classification process through prompt engineering and a user-friendly interface.
- Scalable and Secure
- Seamlessly integrates with your infrastructure, scaling to handle any volume of images while ensuring data security.
- Tailored Insights
- Integrates domain expertise (e.g. internal documentation & standards) to improve classification accuracy.
KEY FEATURES
Essential Features for Enterprise Teams
- Quality Management
- Measure & improve classification accuracy over time.
- Exposed APIs
- Integrate image classification outputs into other systems.
- Data Pipelining
- Automate data intake and storage for efficient processing and reporting.
- Customizable Interface
- Adjust classification rules dynamically without coding expertise.
Process large datasets rapidly and save money doing it.
Speak with an AI ExpertStellar enabled me to understand how generative AI can drive our business and improve our customers’ experience. The company has a great process for evaluating our AI opportunities and making it easy for us to explore our options and engage in a way that is best for us.
Ed Van Deman CEO, FOREST SYSTEMS
PROVEN RESULTS
Transforming Construction Quality with AI Vision
CLIENT
RT Moore, a forward-thinking leader in the plumbing and HVAC industry, leverages technology to improve work execution, quality, and efficiency. Their teams capture extensive jobsite images, which are uploaded to an internal project management tool and serve as records for project oversight and quality control.
CHALLENGE
Despite the wealth of visual data available, these images were underutilized. Superintendents, project managers, and quality managers reviewed them only reactively — typically when an issue arose — resulting in missed opportunities for proactive quality improvement. The existing process limited the potential to identify gaps and correct errors early, relying solely on manual reviews during occasional inspections.
SOLUTION
Stellar partnered with RT Moore to shift their approach from reactive to proactive. By implementing a machine vision solution within their Microsoft Azure environment, Stellar enabled automated, AI-driven image analysis.
RESULTS
- Proactive Quality Control - The solution acted as a “second set of eyes,” identifying potential issues inspectors might overlook and ensuring consistent oversight across all projects.
- Scalability - The system scaled seamlessly across all jobsite photos, providing an additional layer of assurance without increasing labor demands.
- Operational Efficiency - Automated analysis freed up valuable time for project managers and quality inspectors, enabling them to focus on higher-value activities.
