Samsung electronics co., ltd. (20240201385). OBJECT DETECTION DEVICE AND METHOD OF OPERATING THE SAME simplified abstract
Contents
- 1 OBJECT DETECTION DEVICE AND METHOD OF OPERATING THE SAME
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 OBJECT DETECTION DEVICE AND METHOD OF OPERATING THE SAME - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Object Detection Technology
- 1.13 Original Abstract Submitted
OBJECT DETECTION DEVICE AND METHOD OF OPERATING THE SAME
Organization Name
Inventor(s)
Hyunil Byun of Seongnam-si (KR)
Changgyun Shin of Anyang-si (KR)
Inoh Hwang of Seongnam-si (KR)
OBJECT DETECTION DEVICE AND METHOD OF OPERATING THE SAME - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240201385 titled 'OBJECT DETECTION DEVICE AND METHOD OF OPERATING THE SAME
Simplified Explanation
The patent application describes an object detection device that converts signals radiated towards an object into digital signals, processes them to remove noise, and generates a 3D image of the object based on the processed signals.
- The device converts transmission and received signals into digital form.
- It interpolates between elements of the signals to obtain interpolated transmission and received signals.
- Noise is removed from the interpolated signals.
- A cross-correlation signal is generated between the interpolated transmission and received signals.
- A 3D image of the object is created based on peak values of the cross-correlation signal.
Key Features and Innovation
- Conversion of signals into digital form for processing.
- Interpolation to enhance signal accuracy.
- Noise removal to improve signal quality.
- Generation of a cross-correlation signal for object detection.
- Creation of a 3D image based on signal analysis.
Potential Applications
The technology can be used in various industries such as:
- Security for surveillance and monitoring.
- Automotive for object detection and collision avoidance.
- Healthcare for medical imaging.
- Robotics for navigation and object recognition.
Problems Solved
- Improved accuracy in object detection.
- Enhanced signal quality through noise removal.
- Efficient generation of 3D images for analysis.
Benefits
- Enhanced object detection capabilities.
- Improved image quality for better analysis.
- Increased efficiency in signal processing.
Commercial Applications
- "Advanced Object Detection Device for Enhanced Surveillance and Monitoring"
Prior Art
Prior art related to this technology may include research on signal processing for object detection and 3D imaging techniques.
Frequently Updated Research
Research on signal processing algorithms for noise removal and image enhancement in object detection technology may be relevant to this innovation.
Questions about Object Detection Technology
How does this technology improve object detection accuracy?
The technology enhances accuracy by converting signals into digital form, interpolating between elements, and removing noise to generate a clear 3D image of the object.
What industries can benefit from this advanced object detection device?
Industries such as security, automotive, healthcare, and robotics can benefit from this technology for surveillance, object detection, medical imaging, and navigation purposes.
Original Abstract Submitted
an object detection device may include: a converter configured to convert a transmission signal radiated towards an object into a digital transmission signal and a received signal reflected from the object into a digital received signal, according to a predetermined sampling period; and at least one processor configured to: interpolate between elements of the digital transmission signal and the digital received signal that have the predetermined sampling period, to obtain an interpolated transmission signal and an interpolated received signal; remove noise from each of the interpolated transmission signal and the interpolated received signal; generate a cross-correlation signal between the interpolated transmission signal from which the noise is removed and the interpolated received signal from which the noise is removed; and acquire a three-dimensional (3d) image of the object based on at least one peak value of the cross-correlation signal.
