A leading automotive teardown company, known for providing detailed insights into vehicle components, needed to transform a critical part of their workflow—imaging. The company’s process required capturing high-quality images of each dismantled part from six specific angles, a step that was both time-consuming and labor-intensive.

Partnering with Innobayt, the teardown specialist deployed an IoT and AI-powered automation solution that digitized the entire imaging process—from part rotation to image verification and background removal. The result: improved consistency, faster processing, and a more efficient use of resources.

The Challenge

Despite their expertise in teardown analysis, the imaging workflow presented multiple bottlenecks:

• Manual handling of vehicle parts and turntable rotation by operators.

• Time-consuming processes, including physical movement, image checking, and background editing.

• Inconsistent quality, due to human error in verification and post-processing.

• High resource costs, with multiple operators and graphic designers required for basic tasks.

To scale operations and maintain quality, the company needed a smarter, more automated approach.

The Solution

Innobayt delivered a purpose-built imaging system combining IoT and AI to transform the workflow across all four photo booths.

1. IoT-Enabled Turntable Automation

• Proximity sensors were installed at each of the six designated angles around a custom turntable.

• A Waveshare controller with Wi-Fi integration powered precise motor control.

• A foot pedal was introduced to allow seamless rotation control—each press rotated the table to the next pre-defined stop point, eliminating manual adjustment.

2. AI-Powered Imaging Workflow

• An AI engine validated the image clarity in real-time, instantly prompting retakes if needed.

• The same AI automatically removed image backgrounds and annotated parts, eliminating the need for graphic designer involvement in routine editing.

3. Streamlined Operator Experience

• Operators now remained in a single position to take all six images using the pedal.

• The AI pipeline handled the rest—delivering polished, annotated outputs directly to storage.

Business Impact

The transformation delivered rapid ROI and operational efficiencies across teams:

• Photo Booth Throughput: Increased from 20 to 40 products per booth per day (2× improvement)

• Designer Output: Jumped from 40 to 160 products per designer per day (4× productivity gain)

• Graphic Design Headcount: Reduced from 2 designers to 1 without loss in output

• Manual Effort: Shifted from high physical strain to minimal operator movement

• Image Quality: Improved from inconsistent to AI-verified, standardized outputs

• Cost & Efficiency: Lowered labour costs and accelerated delivery timelines