一种小型编码孔径远程放射性成像系统
By integrating an coded aperture camera module and a neural network algorithm into a miniaturized design, the problems of large size and low resolution in portable radiometric imaging systems are solved, achieving lightweight, fast, and accurate remote radiometric imaging, which is suitable for efficient detection in complex environments.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- JIANGSU ENTRY-EXIT INSPECTION & QUARANTINE BUREAU IND PROD TESTING CENT
- Filing Date
- 2026-04-14
- Publication Date
- 2026-07-17
AI Technical Summary
Existing portable radiometric imaging systems are bulky and complex to operate, have low resolution and slow speed for long-range imaging, and traditional coded aperture devices are too heavy to be applied to small drones, affecting monitoring efficiency and safety.
A small-scale coded aperture remote radiometric imaging system was designed, integrating a coded aperture camera module, an FPGA data processing module, a digital multichannel analysis module, a data storage module, and a data transmission module. By combining neural network algorithms, the system achieves compactness and high-efficiency modularity. Lightweight materials and high-sensitivity detectors are used, and the artificial intelligence model is optimized to improve imaging accuracy.
It achieves miniaturized and lightweight remote radiographic imaging, improves imaging resolution and speed, is suitable for large-scale rapid detection in complex environments, and ensures operational safety and convenient data transmission.
Smart Images
Figure CN122017933B_ABST