Tool Wear Detection AI

Measure flank wear and catch chipped, cracked, and broken cutting edges on every insert, end mill, and drill.

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AI-annotated CNC cutting tool showing flank wear and an edge chip with a magnified view.

Tool Wear Detection AI for the Toughest Machining Cells and Tool Rooms

Deploy Anywhere, Run Everywhere
Run tool wear detection on in-machine, tool setter, and tool room cameras across turning, milling, and drilling cells, on the edge, on-prem, in your VPC, or via API.
One Platform, Full Adoption
Tools every machining team can adopt, from machinists and tool crib staff to manufacturing and quality engineers, no separate ML team required.
Secure, Compliant, and Audit-Ready
Data stays safe with SOC 2 Type II compliance, encrypted data, and an uptime SLA, with an image of every cutting edge tied to its tool, machine, and part count.

“The vision AI solutions we developed with Roboflow have been a core component of connecting our teams and unlocking their ability to collaborate.”

Lou Stocco

Director of Manufacturing Advanced Analytics, USG

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Talk to a Vision AI engineer who's shipped in precision machining.

Bring us your toughest tool wear problem and we'll map a working solution.

Ask us about:

Solution architecture that fits your turning, milling, and drilling cells
A live demo on images of your own inserts and tools
Deployment options: edge, on-prem, air-gapped, or VPC
ROI modeling against insert spend, scrapped parts, spindle crashes, and downtime

Over 80,000 organizations build with Roboflow.

Rivian
Pella
Chobani
USG Corporation
BNSF Railway
American Woodmark

Start where you are

Vision AI is transforming businesses

Customers across the board are solving complex challenges and driving meaningful impact.

Automotive customer
$10 million
Saved by automatically detecting defects on the production line
Logistics & freight company
90%
Less time spent manually tracking shipping inventory
Building materials supplier
60%
Lower customer return rate with improved product quality

Measure Every Cutting Edge, from the First Cut to the Tool Change

Add a real-time inspection layer to every cutting tool with Roboflow vision AI for tool wear detection. Built for turning, milling, and drilling cells where inserts are changed on a fixed count to play it safe, a chipped edge cuts dozens of bad parts before anyone notices, and a broken drill shows up as a scrapped part or a crashed spindle.

Wear on the cutting edge:

Measure flank wear land width on inserts, end mills, and drills, and change tools at your wear limit instead of a fixed part count.
Detect crater wear, notch wear, and built-up edge on the rake face and cutting corner.
Spot the small chips and cracks that start a tool failure, with small object detection.

Breakage and tool presence:

Confirm every tool is present and intact before the cycle starts, and catch a broken drill or tap right after it.
Check the tool magazine for empty, wrong, and damaged pockets before a long unattended run.
Stop the machine through a PLC signal when a tool is broken, before it scraps the next part.

Wear you can see on the part:

Catch the burrs, chatter marks, and finish loss a worn tool leaves behind, alongside machined part inspection.
Grade wear by size and severity and trend it by tool, machine, material, and shift.
Set tool life from measured wear, so good inserts are not thrown away early and worn ones do not run late.

Bring intelligence to every cutting tool today. Stop worn and broken tools from becoming scrapped parts, crashed spindles, and wasted inserts.

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Frequently asked questions

What is tool wear detection with Vision AI?

Tool wear detection with Vision AI uses a camera in the machine, at the tool setter, or in the tool room and a trained computer vision model (opens in a new tab) to measure wear on the cutting edge and catch chipped, cracked, and broken tools. It pairs with burr detection on the part and predictive maintenance with vision for the rest of the machine.

Which types of tool wear does it measure?

Flank wear land width (VB), the measure ISO 3685 uses to define tool life, plus crater and notch wear, chipping, cracks, built-up edge, and breakage. A segmentation model outlines the worn area, and a Workflow converts it to millimeters with a calibrated camera and returns keep or change.

Where does the camera go?

Most cells use one of three spots: a camera inside the machine aimed at the tool between cycles, a camera at the tool setter or presetter where every tool already stops, or a bench camera in the tool room where inserts are indexed and tools are reground. The same model serves all three.

Can it integrate with our CNC controls, MES, and tool management system?

Yes. Roboflow writes wear status to a PLC tag over OPC UA or MQTT, so the machine can call a sister tool, pause, or flag a tool change, and sends images and measurements over REST (opens in a new tab) or to a database for MES and tool management systems.

Roboflow serves as the inspection engine, and your manufacturing engineers own the wear limits, tool life, and change decisions.

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Tool Wear Detection AI