Motion-Aligned Object Detection Sensing for Lower Power Use
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing devices equipped with object detection sensors face challenges in managing computing and power resource consumption due to continuous operation and data processing, particularly when the direction of sensor capture does not align with the device's direction of travel.
Innovation Solution
Devices determine the direction of travel and compare it to the sensor's direction of capture to adjust the sensor's characteristics, such as frame rate, power, and processing frequency, based on the magnitude of difference between the two directions, thereby optimizing resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If object detection sensors operate continuously to maintain effective obstacle detection, then detection reliability is improved, but computing and power consumption increase
Solution Approach 1:
The sensor operates dynamically with adjustable characteristics (frame rate, processing frequency, power levels) rather than continuously at fixed settings. The system adapts sensor operation in real-time based on direction alignment between sensor capture and device travel, maintaining detection effectiveness when needed while reducing consumption when alignment is poor.
Solution Approach 2:
The system changes operational parameters (frame rate, processing frequency, power levels) of the object detection sensor based on the magnitude of directional difference. When the difference exceeds a threshold, parameters are adjusted to reduce computing and power consumption while maintaining adequate detection capability.
2Measurement precision
If object detection sensors operate at high frame rates and processing frequencies to improve detection precision, then measurement precision is improved, but computing resources increase
Solution Approach 1:
The system applies partial action by operating the sensor at reduced frame rates and processing frequencies when full precision is not required (i.e., when directional misalignment occurs). This avoids excessive computing resource usage while maintaining adequate detection precision through selective full-operation modes.
Solution Approach 2:
The system dynamically adjusts operational parameters including frame rate and processing frequency based on directional alignment. When the magnitude of difference between sensor capture direction and device travel direction exceeds a threshold, parameters are changed to reduce computing resource requirements while maintaining acceptable detection precision.
3Adaptability or versatility
If sensors capture data in all directions to ensure comprehensive obstacle detection, then adaptability is improved, but power consumption increases
Solution Approach 1:
The system applies local quality by concentrating sensor capture and processing resources on the direction of device travel rather than uniformly distributing them across all directions. This provides high detection quality in the primary travel direction while reducing or eliminating capture in other directions, thereby reducing overall power consumption.
Solution Approach 2:
The sensor's operational characteristics are dynamically adjusted based on the directional relationship between sensor capture and device travel. The system adapts by reducing frame rate, processing frequency, or power levels when the sensor's capture direction does not align with the device's travel direction, optimizing the balance between detection coverage and power consumption.
Data Source
AI summary
Methods and apparatuses are disclosed for determining a characteristic of a device's object detection sensor oriented in a first direction. An example device may include one or more processors. The device may further include a memory coupled to the one or more processors, the memory including one or more instructions that when executed by the one or more processors cause the device to determine a direction of travel for the device, compare the direction of travel to the first direction to determine a magnitude of difference, and determine a characteristic of the object detection sensor based on the magnitude of difference.