Classify and detect
Categorize images and locate objects. Support inspection, identification, and visual search workflows.
From images
to intelligence.
Build computer vision models without writing model-training code. Prepare your data, evaluate the result, and connect it to an application.
From pixels to a decision
Give visual evidence a useful structure.
Move from representative images to model predictions your team can evaluate. Human review establishes whether the output is useful for the task.
Region for review
AI-GENERATED INSPECTION SAMPLEStructured outputLocate.
Locate.
Classify.
Review.
- Input
- Inspection image
- Prediction
- Region of interest
- Next action
- Inspector validation
- 01
Prepare
Collect and label representative images.
- 02
Train
Build a model around the inspection task.
- 03
Evaluate
Check predictions against held-out examples.
- 04
Integrate
Route approved output into the workflow.
What you can build
Different ways to understand an image.
Segment and compare
Label image regions at the pixel level, or compare images for similarity. Train with data relevant to your task.
Read and retrieve
Extract text with OCR. TekStripes also describes a conversational RAG capability over organizational documents.
Deployment and governanceYour model.
Your model.
Your operating environment.
TekStripes lists cloud, on-premises, and air-gapped deployment options, with role-based access and project data isolation.
Use evaluation and testing to establish performance on your own data before integrating a model into production.
Transportation & infrastructure
Help inspectors focus their attention.
The situation
A transportation agency has a growing library of inspection images. Reviewing every image manually makes it difficult to prioritize the records that need closer attention.
A proposed approachPilot image classification or object detection on labeled inspection photographs. Compare model flags with inspector assessments, then route uncertain cases to a person for review.
Put your vision use case to the test.
Continue to TekStripes’ contact page to request a product conversation.
