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Do you have a vast catalogue of job completion evidence photos in your SAP or other workflow management system? Do you have to retrospectively and manually review photos of installations and maintenance tasks to confirm they have been completed correctly? Are you unsure how many jobs your staff complete to the correct standard?
Imagine an online AI-powered service that you can train to recognise and categorise images against pre-defined parameters and an existing image library to identify if a job has been completed correctly.
mXinspect uses AI to harness your business data and provide you with insights to show where corrective or remedial action is required.
- Free up your technical experts for other important tasks
- Build intelligence about your business activity
- Automate the analysis of your image data
- Move towards a ‘right first time’ approach
Train and retrain the AI to your standard
With mXinspect, the more data we can use to train the system, the more accurate the output will be. You can retrain the AI iteratively to get to an optimum level of accuracy.
Automation to trigger action
The review and analysis of image evidence from a job can trigger the correct action, including remedial work, follow-up or feedback to ensure the job is completed safely and to the correct standard.
Provide real-time feedback
Using mXinspect, your on-site workforce can receive real-time feedback when they create and upload their image of a completed job. This could include asking them to retake the image to make it clearer or to ensure that certain elements are included and not cropped out.
Reporting to support decision-making
mXinspect can categorise and analyse large volumes of images. The output reports will support decision-making and action-taking to improve your business performance.
Identify areas for training and process improvement
Through the reporting, you will be able to identify common patterns and see where you can improve processes and workforce training.
There are four main steps to using mXinspect:
Train
Prepare the system using example image data along with the pre-identified categories for each image.
Test
Evaluate the effectiveness of the training by analysing the trained system with a separate test data set.
Retrain
Based on the outcome of the test data set, more image data can be used to improve the system further. This can be iterated through a number of times to get the system trained to an optimum level.
Analyse
Once trained to a satisfactory level, use it to analyse your target data, get results and start taking necessary actions.
Showreel
mXinspect provides an efficient way to analyse your image data so your experts are available for other essential tasks.
Contact us
Taking the leap from traditional ways of working can be hard, that’s why we are here to help.
Our team will develop the right solution for your business, by ensuring that we are meeting the specific challenges that you face, whether it’s increasing machine uptime, enabling better system data visualisation or fewer engineer visits to site – we are here to help you.