Classical computer vision
Deterministic image processing can be the clearest option for geometry, quality checks, thresholding, feature extraction, and constrained comparisons.
Computer Vision Development
Build software that can inspect, classify, compare, and organize images or video.
HerbDev designs practical computer-vision workflows for mobile and operational applications. The first decision is not which model to use—it is what the visual evidence can support, where analysis should run, and how uncertain results will be reviewed.
Discuss Your ProjectProblems computer vision can help structure
- Inspection and visual review
- Image classification
- Object and human detection
- Visual comparison and change detection
- Field-photo documentation
- Anomaly detection
- Image quality assessment
- Image-based measurements when the capture conditions support them
Choose the simplest approach the problem supports.
Machine and deep learning
Trained models can help when the visual categories or variations cannot be represented reliably with fixed rules.
Combined systems
Many practical workflows use deterministic preprocessing, a model for interpretation, confidence handling, and human review for uncertain cases.
From visual question to maintainable workflow
- 1
Define the decision the image must support
- 2
Evaluate representative data and capture conditions
- 3
Prototype and measure failure cases
- 4
Integrate inference, review, storage, and monitoring
Relevant engineering evidence
Engineering prototype
Contractor AI Job Site
A field-photo workflow with on-device analysis, comparison, history, and report generation.
Read the case study →Engineering research project
OrganicVision
On-device analysis research covering model behavior, repeatability, device constraints, and reporting.
Read the case study →Start with the visual decision, available data, and operating constraints.
Describe what must be recognized or compared, how images are captured, and what should happen when the result is uncertain.
Discuss Your Project