Autonomous Vehicle Sterilization Using Presence-Aware AI Control
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Solution Overview
Problem
Current sterilization methods, especially those involving stronger chemicals and UV radiation, pose health risks to humans and are not effective in maintaining proactive protection against contamination throughout the day, particularly in public transportation systems and schools.
Innovation Solution
The development of an autonomous sterilization system that utilizes AI logic to determine when, where, and how sterilization should occur, including the use of sensors to detect human presence and selectively activate sterilization devices to ensure safety and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If strong chemicals and UV radiation are used for sterilization, then sterilization effectiveness is improved, but health risks to humans increase
Solution Approach 1:
The patent introduces sensors as intermediaries between the sterilization system and humans. These sensors detect human presence and trigger warnings or pause sterilization operations, acting as a mediator that prevents direct exposure to harmful sterilization agents while maintaining sterilization effectiveness when safe
Solution Approach 2:
The system implements feedback mechanisms where sensors continuously monitor the environment for human presence, and the control system adjusts sterilization operations accordingly. This closed-loop feedback allows the system to respond to real-time conditions, pausing or modifying sterilization when humans are detected to prevent health risks
2Reliability
If offline sterilization processes are implemented, then sterilization thoroughness is improved, but facility downtime increases
Solution Approach 1:
The system performs preliminary actions by detecting human presence before initiating sterilization, allowing the facility to operate normally until sterilization is needed. This enables thorough sterilization to be performed at optimal times without forcing unnecessary downtime, as the system proactively identifies when sterilization can safely occur
Solution Approach 2:
The patent makes the sterilization system dynamic by adjusting operation timing based on real-time sensor data. Rather than fixed offline schedules, the system adapts its sterilization cycles to facility conditions, performing thorough sterilization when safe and transitioning to normal operations when needed, thereby reducing overall downtime
3Productivity
If frequent sterilization is performed during operational hours, then continuous protection is improved, but exposure risks to humans increase
Solution Approach 1:
Sensors serve as intermediaries that enable frequent sterilization by detecting human presence in real-time. The system can perform sterilization cycles multiple times during operational hours while the sensor-mediated warning system prevents exposure risks by pausing operations when humans are detected
Solution Approach 2:
The feedback mechanism allows the system to perform frequent sterilization cycles while continuously monitoring for human presence. When sensors detect humans, the feedback loop immediately pauses or modifies sterilization, enabling continuous protection during operational hours without exposing humans to harmful agents
4Ease of operation
If AI-based autonomous control is implemented, then operational disruption is reduced, but system complexity increases
Solution Approach 1:
The system implements self-service through AI-based autonomous control, where the sterilization system automatically monitors its own environment via sensors and adjusts operations without human intervention. This reduces operational disruption by eliminating manual control while the automated decision-making handles the complexity internally
Solution Approach 2:
The patent replaces manual mechanical control with AI-based automated control systems. The mechanical aspect of manually monitoring and controlling sterilization is substituted with electronic sensors and AI algorithms that automatically detect conditions and adjust operations, reducing operational disruption while managing complexity through digital rather than mechanical means
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
This system allows facilities and services to remain open with increased uptime, reducing costs and enhancing service levels by providing more frequent and targeted sterilization processes, thereby decreasing exposure risks for users.
Implementation Method 1
the sensor is coupled to detect and provide data indicative of the presence of a mobile object (e.g., human or animal) in the location
Implementation Method 2
the sanitizing device is operable to emit sanitizing substances to and/or effect sanitization of the location
Data Source
AI summary
Systems and methods for autonomous sterilization of vehicles includes coded logic or processing instructions to determine (i) when sterilization should occur (or not occur), (ii) where sterilization should occur (or not occur), and/or (iii) how sterilization should occur (e.g., which method to use, how long to conduct, and/or which parameter values/settings to employ). The sterilization system may autonomously determine when it is safe to sterilize an environment/location and/or how such sterilization should be carried out. Autonomous sterilization systems and/or processes described herein may permit facilities and/or services to remain open and/or available at higher rates than current offline processes permit, thereby increasing availability.