01
Capture
A controlled camera records the product and attaches the relevant order, branch, and production context.
Flagship product · Computer vision
Pizza Checker
Visual quality control that connects the camera, the evaluation, the operational decision, and the evidence behind it.
Illustrative system viewProduct → evidence
Pizza Checker buyer decision guide
- Best fit
- Production or food-service teams evaluating camera-assisted visual checks for a defined item and operating workflow.
- Inputs
- Representative images, capture conditions, current quality criteria, and the order or production context each result must attach to.
- Pilot
- A bounded dataset and review flow showing capture quality, visible findings, and the evidence an operator can inspect.
- Deployment & handoff
- Camera placement, evaluation logic, application integration, monitoring, and ownership are scoped against the target operation before rollout.
The product system
Inspection workflow.
02
Evaluate
Computer vision evaluates visible conditions while keeping the source image and findings together as reviewable evidence.
03
Review & act
Operators and connected systems receive the result, verify the evidence, and decide or automate the next step.
Product views
Product image, evaluation and order context.
The interface keeps the visual evidence beside the operational record, so a result can be inspected instead of treated as a black box.
Reviewable evidence.
The product view is built around reviewable images and the specific order context they belong to.
Verified operational surface
Operational review and diagnostics.
The current application connects portfolio-level monitoring with the evidence needed to understand an individual capture and its evaluation.
Branch-aware operations
Filter the operational view by branch and date, then compare location performance without losing the underlying records.
Capture-quality diagnostics
Separate evaluable images from empty or obstructed captures before interpreting product quality.
Component-level evaluation
Review detection, ingredients, extras, removals, doneness, and photo-quality findings together.
Traceable review
Move from an order or pizza record into its capture, annotations, evaluation summary, and detailed checks.
Vosíme scale snapshot · August 2026
Current scale and planned rollout.
The project team reports that the current scale-up processes more than 20,000 pizza images per month while it prepares a wider rollout. Monthly volume varies, and each figure is labelled by status so a plan is not mistaken for completed coverage.
- images processed monthly
- 20k+
- Current scale-up snapshot
- branches in the planned rollout
- 40+
- Target footprint, not deployed coverage
- clear operating stages
- 3
- Capture · Evaluate · Review & act
According to the project team, the evaluation stage is designed around neural-network computer vision, with captured images and results retained for human review. Scale snapshot supplied by the project team in August 2026; 40+ describes the planned rollout footprint, not current deployed coverage.
Implementation · Vosíme
Vosíme implementation.
The Vosíme implementation ties captured pizza images to orders, exposes the evaluation for review, and gives operators one place to inspect the flow across locations.
- Purpose-built camera capture
- Order, pizza, branch, and camera workflows
- Ingredient, doneness, and photo-quality review
- Operational dashboard with branch and date filtering
A quality decision needs more than a model.