Our field technicians upload hundreds of job site photos every week, but our service managers do not have time to review all of them for quality control. How do we use AI to automate this visual inspection process?

Question

Tyler Smith · Accepted Answer

When your field technicians finish a job, checking their work is essential to maintain quality standards and avoid costly return trips. However, having a highly paid service manager look at thousands of images is a poor use of their capacity.

You can solve this by training a computer vision AI model on your standard operating procedures. Feed the AI examples of correctly completed installations alongside examples of common errors, such as loose wiring, incorrect mounting, or missing safety labels.

Once trained, the AI can scan every uploaded photo automatically as soon as the technician submits it via their mobile device. If the AI detects an issue, it immediately alerts the technician while they are still on site, allowing them to fix the mistake before they drive away.

If the photo passes, the job is marked as complete. This reduces return trips and ensures consistent quality. Track the percentage of jobs cleared on the first visit as a key metric on your weekly Scorecard to measure the impact of this tool.