Case Study: VisionRD

VisionRDAI produce AI products to empower Automobile & Part manufacturers to automate quality inspection, root cause analysis, and achieve Six Sigma.


VisionRD, a pioneering automotive technology company, identified a critical challenge in the quality control process of automotive component manufacturing.

Traditional quality checks were labor-intensive, time-consuming, and prone to human error, leading to inefficiencies and compromises in product quality.

To address this challenge, VisionRD envisioned InspectionAI, an AI-driven technology aimed at automating quality checks on the assembly line.

However, they faced the challenge of designing a user interface that would seamlessly integrate into existing workflows while ensuring ease of use and maximizing efficiency.


VisionRD partnered with a team of UI/UX designers to develop a comprehensive solution for InspectionAI. The project began with extensive user research, including interviews, observations, and feedback sessions with assembly line workers, quality control managers, and other stakeholders.This research phase uncovered valuable insights into user needs, pain points, and workflow dynamic

Based on these insights, the design team crafted a user-centric solution that prioritized ease of use, efficiency, and seamless integration into existing workflows. The UI design focused on intuitive navigation, clear visual cues,and streamlined workflows to guide users through the quality control process effortlessly. The branding was carefully crafted to reflect reliability, innovation, and trustworthiness, aligning with VisionRD’s overarching brand identity.

VisionRD AI – Product Demo from Ayub Muhammad on Vimeo.


The implementation of InspectionAI with its user-centric design approach has resulted in significant impacts on automotive component manufacturing.

By automating quality checks on the assembly line, InspectionAI has reduced reliance on manual inspection, leading to substantial time savings and improvements in efficiency.

The AI-driven technology has also minimized the risk of human error, resulting in higher accuracy and consistency in quality control.