오토피디아 AI

Dr.Tread AI Inspect tire wear
with a single photo

Try Demo

Choose a tire wear level or upload your own photo to see real-world results.

위험한 타이어

Individual depths are ordered from the outer groove and may not appear left-to-right in the image.

타이어를 찍고 있는 핸드폰 화면에 측정된 트레드 결과가 나오고 있는 일러스트

With just one
photo Measure
wear in MM

Without complicated optics or depth finders Identify the remaining depth of the tread grooves from a photo in millimeters.

Tires Need
Changing
Timing Guide

With a 99% detection rate, the Dr.Tread AI engine is able to detect tire risk based on the remaining 3mm of tread based on the remaining 3mm of tread.

No matter who you are or how you shoot
Dr.Tread AI is the most accurate

Support for low-light
environment

500,000 tread photos taken in a variety of environments.
to accurately recognize tire wear, even at night and in low-light environments such as
even in low-light environments like underground parking lots
High-Precision Mode

Need the highest level of accuracy?
Take up to 3 photos of the same tire
maximizes wear prediction accuracy
Ability to request automatic
reshoots

Worried about users taking bad shots?
Automatically identify non-tread photos and
user to reshoot and prevent misidentification.
Detect wear and
abnormal air pressure

Recognize the residual depth of individual tread grooves for in-depth tire wear analysis.
*On request

Dr.Tread AI has
a variety of business benefits

Automating Tread Inspection Save time
Build an automated tire tread inspection solution with Dr.Tread AI automated tire tread inspection solution. Replace manual and cumbersome inspection processes manual and cumbersome inspection process, saving your customers time and effort
99% detection rate for worn tires Helping customers drive safely
Accurately identify tire wear to reduce the risk of customer accidents due to tire wear due to tire wear
business decisions based on collected tire data
The Dr.Tread AI API provides accurate tire-related information. Create greater business value with trusted data collected from millions of end-users with reliable data collected from a large number of end users

With Dr.Tread AI, you're in control of the
Data you can collect

Tire wear based on
mileage
Tire Wear
Trend analysis
Tires Average
rotation interval

*Examples of data criteria that can be collected when a tire is inspected periodically

Data Utilization Proposal

Tires Predicting life expectancy
Tires Evaluate performance
When to Rotate Tires Reminders

Dr.Tread AI drives tire management with powerful data tire management based on powerful data

500K +
Cumulative
Training Dataset
6M +
Average monthly
tire wear inspection
99 %
Worn tire detection rate

"We found customers who missed their tire rotation who forgot to change their tires"

customers who didn't realize they needed a tire rotation and and those who didn't realize it was time to change their tires.

"We reduced unnecessary maintenance intake by validating tire wear with a simple photo-based check."

By standardizing tread assessments with Dr. Tread, we cut false-positive maintenance visits and improved fleet availability—keeping more cars on the road and generating more rental revenue.

"AI tire reports help our inspectors deliver consistent, trusted results—every time."

With Dr. Tread and Dr. Sidewall, our inspection centers produce standardized tire wear and spec reports from smartphone photos, reducing inspector variability and giving customers clear, credible evidence they can trust.

"with Dr. Sidewall to create a seamless customer experience to create a seamless customer experience"

From tire health checks to purchase and fitment appointments, we've created a seamless tire care cycle for our customers.

API integration,
30 minutes is all it takes

Code is generated on call minimize development time

Just pick a language and framework to use. From Java to Javascript, NodeJs to PHP. Automatically generate API call code, from Java to NodeJs to PHP.

FAQ

Q. How does Dr.Tread measure tire tread depth from a single photo?

Dr.Tread uses a proprietary, tire-specific AI model trained on a large-scale dataset of real-world tire images and precise tread measurements.

The model analyzes tread geometry, groove patterns, and visual depth cues to estimate remaining tread depth accurately from a single image - without requiring any physical measuring tools.
Q. What kind of photos work best for accurate tread analysis?

For best accuracy, the tire tread should be captured straight-on, with the camera facing the tread surface as directly as possible.

Wide-angle shots or images taken from extreme angles can reduce accuracy. Ensuring the tread area fills most of the frame significantly improves prediction performance.
Q. How reliable is Dr.Tread compared to manual tread depth gauges?

Dr.Tread has been validated through strict internal evaluations across the full tread depth range.

In these tests, it achieved an average Mean Absolute Error (MAE) of approximately 0.3 mm, which is comparable to - and in many use cases more consistent than - manual measurements.
Q. In what formats is Dr.Tread available as a service?

Dr.Tread can be delivered in multiple ways depending on business needs:
- API integration, allowing seamless embedding into existing systems
- Web link-based service, where a dedicated URL can be used immediately without complex integration
- Report generation, where structured inspection reports can be automatically produced depending on the selected plan
Q. What business problems does Dr.Tread help solve for automotive service providers?

Dr.Tread enables value creation across a wide range of use cases, including:
- Acquiring and qualifying potential customers on online platforms
- Supporting tire and vehicle inspections at service centers
- Managing fleet maintenance for car-sharing and rental companies
- Assessing vehicle condition on used-car marketplaces

By automating tire wear assessment, Dr.Tread reduces friction, increases trust, and supports data-driven decision-making.

Start managing your customers' tires
with Dr.Tread AI

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API testing is only available after completing the survey.