Computer vision that assists, not decides
Turnstone reads markings from clear part photos and ranks likely text. A quality professional always confirms, corrects, or records a no-read.
Supportive tools for aerospace quality teams
Turnstone gives quality and warehouse teams a calmer, reviewable way to handle physical-part information: surface markings with computer vision, keep certificate evidence organized, and make uncertainty visible before it becomes an avoidable human error.
Built for MRO teams, repair stations, parts rooms, and aerospace manufacturers.
Human-confirmed by design. Computer-vision reads are suggestions, never an automatic quality or inventory decision.
Evidence is not a certification decision. A stored document supports review; your qualified team determines compliance and airworthiness.
RFID remains available where it fits. Known tags can support a physical inventory workflow without becoming the center of the quality process.
The quality workspace
The goal is not to replace experienced people. It is to give them the right evidence, a clear next step, and a durable record—so fewer details depend on a rushed manual handoff.
Turnstone reads markings from clear part photos and ranks likely text. A quality professional always confirms, corrects, or records a no-read.
Capture the part, see the model suggestion, and keep the final human decision with the supporting photo instead of relying on memory or loose notes.
Record the certification types a part requires, then store the actual certificate document against the relevant site and lot, batch, heat, or serial number.
When the image or data is unclear, Turnstone makes uncertainty visible so a person can investigate before an avoidable error becomes a downstream problem.
What the team can review
Turnstone preserves what was seen, what the model suggested, and what a person confirmed. It does not certify a part, make a safety determination, or replace the judgment required by your quality system.
Implementation
A pilot is configured around one real workflow, the people who review it, and the evidence they need. We validate the process before asking a team to rely on it in regular operations.
Turnstone imports the relevant part information and records the certification requirements that the quality team needs to check.
A clear photo gives computer vision the context to suggest a marking. The reviewer can accept it, correct it, classify it, or mark it unreadable.
Reviewed markings, uploaded certificate evidence, and open questions remain visible to the team rather than disappearing into a manual handoff.
A no-read is a useful outcome. When a marking cannot be read reliably, Turnstone keeps that uncertainty explicit instead of inventing a value or forcing a match.
Pilot discussion
We will start with the physical parts, review steps, certificate evidence, and handoffs where clearer information can reduce avoidable human error.