Embedded Controller Accident Detection for Mobile IHS Damage Diagnosis
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Solution Overview
Problem
Mobile Information Handling Systems (IHSs) face increased accident risks, such as drops and collisions, leading to hidden damages that are difficult to diagnose and increase support burdens on OEMs due to prolonged troubleshooting and warranty evaluation difficulties.
Innovation Solution
Implementing an Embedded Controller (EC) with sensors like accelerometers and gyroscopes to detect accidents, using AI/ML models to identify accident types and severity, and perform actions such as issuing notifications, triggering warranty evaluations, or executing remediation commands, even when the IHS is in an off or low-power state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If mobile IHSs are designed for increased mobility and versatility, then user convenience and adaptability are improved, but the risk of accidents such as drops and collisions increases
Solution Approach 1:
The system performs preliminary actions by continuously monitoring sensor data (accelerometers, gyroscopes, microphones) to detect accident patterns before significant damage occurs. The EC analyzes motion patterns, impact forces, and environmental context in real-time to identify drops, throws, or collisions, enabling early intervention through notifications and automated warranty processes before the user even becomes aware of the damage.
2Loss of time
If accident detection and handling systems are implemented, then diagnosis time and support burden are reduced, but device complexity increases
Solution Approach 1:
The system segments accident detection into distinct functional modules: sensor data acquisition (accelerometers, gyroscopes, microphones), EC-based pattern recognition and analysis, notification generation, and automated warranty process initiation. Each module operates independently but integrates through standardized interfaces, allowing the complex detection functionality to be managed through modular components rather than a monolithic system.
Solution Approach 2:
The Embedded Controller (EC) acts as an intermediary between the sensors and the main system components. The EC collects raw sensor data, processes it to detect accident patterns, and then triggers appropriate responses (notifications, warranty processes). This intermediary layer simplifies the overall architecture by centralizing the complex detection logic in a dedicated component rather than distributing it across multiple subsystems.
3Ease of manufacture
If hidden damage is not detected early, then manufacturing simplicity is maintained, but reliability and diagnostic accuracy deteriorate
Solution Approach 1:
The system replaces manual inspection and post-accident diagnostic procedures with automated electronic sensing and analysis. Sensors (accelerometers, gyroscopes, microphones) continuously monitor for accident conditions, and the EC automatically analyzes the data to detect hidden damage patterns. This substitution of mechanical/d manual processes with electronic automation maintains manufacturing simplicity while dramatically improving detection reliability and the ability to identify hidden damage that would otherwise go undetected.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Facilitates timely detection and handling of accidents, reducing diagnostic time and improving troubleshooting efficiency by predicting damage and initiating appropriate actions autonomously.
Implementation Method 1
The sensor may include at least one of: an accelerometer, a gyroscope, or an Inertial Measurement Unit (IMU)
Implementation Method 2
The sensor may include at least one of: an accelerometer, a gyroscope, or an Inertial Measurement Unit (IMU)
Data Source
AI summary
Systems and methods for accident detection and handling are described. In some embodiments, an Information Handling System (IHS) may include an Embedded Controller (EC), and a memory coupled to, or integrated into, the EC, where the memory comprises program instructions that, upon execution by the EC, cause the EC to receive data from a sensor and, in response to the data being indicative of an accident, perform an action.