TSA Bomb Detection Paved the Way for Future Cancer Screening
IMAGO founders share 10 patents in optics, time division multiplexing, hyperspectral data analysis, and machine learning/artificial intelligence. Their most recent work, prior to Imago, was for the development of machine learning algorithms to analyze digital images for:
Dual energy X-ray images for the detection of explosives and other weapons in carry-on bags at TSA checkpoints at airports and for bomb detection for military and civilian bomb squads
Liquid explosive detection algorithm development with Lawrence Livermore National Labs
Automatic detection of tuberculosis (TB) bacilli using smear microscopy, in partnership with the National Labs of South Africa and WHO
Automatic detection of mechanized devices through analysis of satellite and airborne-acquired hyperspectral image data working with the U.S. Office of Naval Research
Developed fingerprint optimization for the FBI
IMAGO’S recently granted patent broadly expands the research and development potential for its VI application across many industries.
Aerospace
Stress fracture analysis of critical aircraft parts via X-ray
Satellite
Enhanced visual image detail
Agriculture
Topographical and observational analysis — Satellite or drone image capture
Oil & Gas
Pipeline analysis for stress fractures and leaks via drone image capture
Electric Grid
Analysis of critical powerline infrastructure via drone image capture