Vision based AI systems - Data driven quality assurance in production
In short
Challenge
→ Deliver real value for leading Swedish infrastructure company responsible for some of the country’s most critical road projects
→ Material waste and incorrect deliveries lead to financial losses and uncertain invoicing.
Solutions
Develop a vision based AI system that:
→ Analyzes images from cameras installed at loading points
→ Identifies which material fraction is being loaded
→ Cross references with weighbridge tickets and order data
→ Detects deviations and potential waste in real time
→ Develop a system that acts as an automatic quality control before material leaves the facility
Project results
→ Early detection of loading errors
→ Reduced risk of incorrect invoicing
→ Reduced material loss
→ Target, reduce waste from approximately 5 percent per year
What’s in it for me?
What did we do?
Rocket develops AI driven quality assurance solutions that reduce material waste and prevent costly delivery errors in production environments. Using computer vision with camera based image capture, real time data integration, and technologies such as Azure Custom Vision, proprietary image classification models, and Python, we automatically verify what is loaded and detect deviations before materials leave the site. By integrating AI insights with ERP and operational systems, we provide reliable decision support for operations and invoicing. The result is earlier error detection, lower material loss, improved billing accuracy, and measurable reductions in waste through scalable, production ready AI solutions.
Time saving - Cost reducing
Rockets AI-development lead to time savings and cost reducings through automated quality control that detects errors in real time, minimizes material waste, and prevents costly delivery and invoicing mistakes.
Flexibility & Future-Proofing
Flexibility and future proofing through scalable AI solutions that adapt to changing operations, integrate seamlessly with existing systems, and are built to evolve with future business and technology needs.
How it works!
So, how did we do it?
We do it by combining deep business understanding with production ready AI and real world data. Starting from concrete operational challenges, we use cameras that continuously capture images, which are then analyzed with computer vision and advanced analytics to detect deviations, verify quality, and generate actionable insights.
These AI solutions are fully integrated with existing systems and workflows, built with security, reliability, and long term scalability in mind, enabling continuous improvement, measurable impact, and technology that evolves alongside the business.
Values
01
Business Value
By minimizing error margins, we create direct business value through lower waste, fewer costly mistakes, more reliable invoicing, and higher operational confidence across the entire value chain.
02
Efficiency
By increasing efficiency, we reduce manual work, shorten decision cycles, and enable operations to scale, delivering faster processes, better resource utilization, and sustained cost savings.
03
Accuracy
Improved accuracy ensures every load, measurement, and decision is correct, creating stability in operations and confidence across production, logistics, and finance.
04
Cost Saving
Cost savings are achieved by eliminating unnecessary waste, preventing costly errors before they occur, and reducing the need for manual controls and rework. With accurate, automated verification in place, resources are used more efficiently, invoicing becomes more reliable, and operational costs decrease while margins improve.
