Capability
Find Relevant Information Faster in Large Inspection Datasets
Birdseye uses Artificial Intelligence and Machine Learning (AI/ML) to support qualified review, not to replace engineering judgement.
01
The Customer Challenge
Large inspection programmes can produce thousands of images, video frames and measurements. Manual review takes time and may make consistent comparison difficult.
02
How Birdseye Helps
Birdseye applies suitable AI/ML and rule-based tools to support detection, classification and data organization. Results are reviewed against the agreed scope and delivered with traceable evidence.
03
What We Provide
- Image, video and component screening
- Anomaly and defect-candidate detection
- Classification and structured tagging
- Human validation and quality control
04
What You Receive
- Tagged evidence
- Candidate-defect register
- Review status and confidence information where applicable
- Prioritized dataset for qualified assessment
05
Value for Your Business
- Reduce time spent searching large datasets
- Improve consistency and traceability
- Help specialists focus attention on relevant evidence
06
Discuss This Asset Challenge
Tell us what data you have, what you need to detect and how the findings will be reviewed.
Your asset. Your decision.