The global shift towards miniaturized, complex components in electronics, automotive, and aerospace demands advanced non-destructive testing (NDT) solutions. Simultaneously, stringent regulatory requirements in medical diagnostics and food safety necessitate higher precision and reliability in inspection. This technology offers a critical advantage by adapting to diverse geometries, reducing inspection blind spots, and accelerating quality assurance processes, thereby enabling manufacturers and healthcare providers to meet evolving market demands and maintain competitive edge.
Achieves high-precision ultrasound imaging in complex surfaces and narrow spaces by directly estimating and correcting deformable probe shapes from imaging data. This enables detection of minute defects and anomalies previously difficult with rigid probes, significantly enhancing inspection reliability.
Eliminates the need for separate shape sensors or complex calibration processes by performing probe shape estimation and image creation with the same data. This reduces inspection setup time and operational costs, enabling rapid acquisition of high-definition results and improving overall process efficiency by ~20%.
Flexibly conforms to the surface shapes of diverse objects, such as the human body or complex industrial components, using a deformable plate material and real-time correction based on shape indicators. This enables broad applications from medical diagnostics to industrial non-destructive testing.
This patent protects an ultrasound imaging apparatus featuring a deformable probe that estimates and corrects its shape using image data, enabling high-precision imaging in complex environments. It establishes a broad scope of protection, having successfully overcome four cited prior art references during examination, indicating strong novelty and inventiveness.
This patent primarily covers the self-correcting deformable probe and its imaging algorithm. White space exists in integrating AI for automated defect analysis, developing novel probe materials for extreme environments, or combining with robotic systems for autonomous inspection paths.
Assuming a manufacturing line currently incurs ~$1.0M/year in defect losses from ultrasound inspection. Implementing this technology could improve defect detection accuracy by 50%, reducing annual losses by half. This projects an annual defect loss reduction of ~$500K (AI est.). Additional productivity gains from reduced inspection time are also anticipated.
X: Adaptability to Diverse Geometries
Y: Imaging Precision & Inspection Efficiency