AI Image Classification & Routing
Classify incoming images into agreed categories and route uncertain or relevant items for review.
The opportunity
Incoming photographs may need to be sorted by product, issue, location or another operational category before anyone can act. The first pass is repetitive, but inconsistent images make a simple rule-based process difficult.
Voxd helps define and test AI-assisted image classification around useful categories. We evaluate representative examples, set review thresholds and connect the result to an agreed queue. Uncertain material remains visible instead of being forced into a confident-looking label.
Prepare a useful classification for suitable images before a person begins the main task.
Use defined criteria that can be tested and improved as new examples appear.
What we deliver
Establish the labels, examples and difficult cases that represent the intended workload.
Test quality and agree thresholds or conditions for human review.
Connect accepted classifications and exceptions to the relevant operational process.
Why Voxd
Voxd brings AI development, workflow automation and custom software together. We can build the review interface, connect the result to an existing system and design how uncertain cases reach a person.
We begin with feasibility because different visual tasks have very different requirements. You get a way to test the opportunity before committing to a larger deployment, with a decision based on your images and operating conditions.
How we work
We agree what should be detected, what acceptable variation looks like and the practical consequences of a missed detection or false alarm.
We review camera setup, image quality and examples of both normal and difficult conditions. Gaps in the sample are identified early.
We evaluate detection quality and the review workload against agreed criteria, including examples outside the easiest cases.
If the pilot supports proceeding, we integrate the findings into a working process with human review, ownership and ongoing performance checks.
Before you get started
Yes, where that matches the use case. We agree whether multiple labels, a single decision or a review result is appropriate.
The workflow should recognise the limits of its categories and provide a route for review and future improvement.
Show us the incoming material and the categories your team needs to work with.
Route ambiguous or unfamiliar images for review rather than allowing a guessed label to drive the next step.