AGM TECHNOLOGIES LIMITED (20240210236). VEHICLE-RELATED EVENT DETECTION USING SIGNAL PROCESSING simplified abstract
Contents
VEHICLE-RELATED EVENT DETECTION USING SIGNAL PROCESSING
Organization Name
Inventor(s)
Stephen William Cowper of Suffolk (GB)
VEHICLE-RELATED EVENT DETECTION USING SIGNAL PROCESSING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240210236 titled 'VEHICLE-RELATED EVENT DETECTION USING SIGNAL PROCESSING
- Simplified Explanation:**
The patent application describes a method and system for detecting events related to vehicle integrity, such as crashes, using sound analysis without the need for analog-to-digital conversion.
- Key Features and Innovation:**
- Method involves using a microphone to transduce sound into an analog audio signal.
- Analog signal processor transforms the audio signal in the time-frequency domain.
- Time-frequency spectrogram is evaluated to detect vehicle integrity-related events.
- Ultra-low power system as no analog-to-digital conversion is required.
- Can be used for battery-powered continuous vehicle monitoring.
- Potential Applications:**
This technology can be used in automotive safety systems, insurance telematics, fleet management, and vehicle diagnostics.
- Problems Solved:**
The technology addresses the need for efficient and low-power methods of detecting vehicle crashes and other integrity-related events.
- Benefits:**
- Improved vehicle safety and monitoring.
- Reduced power consumption in monitoring systems.
- Enhanced accuracy in detecting crashes and other events.
- Commercial Applications:**
"Vehicle Integrity Event Detection System for Automotive Safety and Monitoring"
- Prior Art:**
Prior art related to this technology may include research on sound-based crash detection systems and vehicle monitoring technologies.
- Frequently Updated Research:**
Researchers may be exploring advancements in sound analysis algorithms for improved event detection in vehicle monitoring systems.
- Questions about Vehicle Integrity Event Detection:**
1. How does this technology compare to traditional crash detection systems using accelerometers? 2. What are the potential challenges in implementing this system in different types of vehicles?
Original Abstract Submitted
there is provided a method of, and a corresponding system for, detecting an event related to vehicle integrity, such as an oblique angle or side swipe type crash. the method may include using a microphone to transduce sound into an analog audio signal, and then using an analog signal processor analogically transforming said analog audio signal in the time-frequency domain, including dividing the audio signal into a plurality of time segments, and each time segment into a plurality of signal components in a plurality of predetermined frequency bands. such time-frequency spectrogram can be evaluated by the signal processor in order to detect vehicle integrity-related events. accordingly, the system only requires ultra-low power, since no (analog) to digital conversion is required. this is advantageous in applications such as battery powered continuous vehicle monitoring. the method may also be carried out recurring to digital signal processing, that is in the digital domain.
