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Fiverr Pro
English
$
USD
I will computer vision and predictive maintenance ai for industries
About this Gig
Catch defects and equipment failures before they cost you money.
I build computer vision and predictive maintenance systems specifically for industrial and manufacturing environments a combination most AI freelancers don't have. I understand the physical systems behind the data, not just the code.
What You Get:
- Defect/quality-control detection from camera images (CNN-based)
- Predictive maintenance models from sensor data (vibration, temperature, pressure)
- Data labeling guidance and preprocessing for industrial datasets
- Model evaluation with realistic accuracy expectations for your use case
- Edge or server deployment options
- Clean, documented code and integration notes
- 14 days of post-delivery support
Perfect For:
Manufacturers, factories, equipment maintenance teams, quality assurance departments, and industrial startups building AI-driven monitoring tools.
Message me with your data type (images or sensor logs) and goal, I'll tell you honestly what's achievable with your current data before you order.
My Portfolio
Other Data Science & ML Services I Offer
FAQ
What kind of data do you need?
Either labeled images (for defect/quality detection) or time-series sensor logs (for predictive maintenance). Send a sample and I'll assess it.
Can this run on cameras/edge devices on the factory floor?
Yes, lightweight models can be optimized for edge deployment — this is scoped in the Premium package.
Do I need labeled data, or can you help label it?
I can help label a starter dataset for an added fee if you don't have one already.
What accuracy can I expect for defect detection?
It depends entirely on your data quality and volume — I run an initial evaluation and give you honest numbers before committing to a full build.
Can you predict equipment failure before it happens?
Yes, using historical sensor data I can build models that flag anomalies and estimate time-to-failure trends.
Do you have an industrial or engineering background?
Yes, I'm a mechanical engineer, so I understand the physical systems behind your data, not just the statistics.
What if I don't have a large dataset yet?
I can still build a working prototype on a small dataset and tell you what additional data would improve it.
