Time of Flight Sensor Dynamic Parameter Adjustment
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Solution Overview
Problem
Time of flight systems face challenges in measurement accuracy, power consumption, and motion detection rate due to fixed detection ranges and emission intensities, which limit their ability to dynamically adjust based on object distance.
Innovation Solution
A time of flight system comprising a light source, sensor, and processor that transmits invisible light, records the time interval of light travel to and from an object, and adjusts emission period, exposure period, and sensing range accordingly to enhance measurement accuracy, reduce power consumption, and increase motion detection rate.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the time of flight system uses a fixed detection range and emission intensity, then the system structure is simple, but measurement accuracy is low
Solution Approach 1:
The patent implements dynamic adjustment of the detection range and emission intensity based on the measured distance to the object. The system continuously adapts its parameters rather than using fixed values, which resolves the contradiction by making the system complex enough to achieve high measurement accuracy through real-time parameter optimization.
Solution Approach 2:
The system changes key parameters (detection range and emission intensity) based on the measured distance. By dynamically adjusting these parameters according to the object's position, the system achieves high measurement accuracy without requiring overly complex structural modifications.
2Use of energy by stationary object
If the time of flight system uses a fixed detection range, then the device complexity is low, but power consumption is high
Solution Approach 1:
The system dynamically adjusts the emission intensity based on the measured distance to the object. When the object is farther away, the emission intensity increases; when closer, it decreases. This dynamic power management reduces overall energy consumption while maintaining detection capability, resolving the contradiction between power efficiency and system complexity.
3Productivity
If the sensor senses a larger range, then the device complexity is low, but motion detection rate is low
Solution Approach 1:
The system dynamically adjusts the main sensing range of the sensor based on the measured distance to the object. By concentrating the sensing capability on the relevant distance range rather than uniformly covering all ranges, the system achieves higher motion detection rate for objects at the measured distance while managing system complexity through intelligent parameter adjustment.
4Use of energy by stationary object
If the time of flight system does not dynamically adjust emission intensity, then the system complexity is low, but power cannot be saved
Solution Approach 1:
The system changes the emission intensity parameter based on the measured distance to the object. This parameter adaptation allows the system to save power by reducing emission intensity when the object is close, while increasing it when the object is far away, thus resolving the contradiction between power savings and system complexity.
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
The system improves measurement accuracy, reduces power usage, and enhances motion detection rates by dynamically adjusting emission parameters and sensing ranges based on object distance, thereby optimizing performance across various applications.
Implementation Method 1
The time of flight system estimates a distance between the object and the time of flight system according to a time interval of the invisible light traveling to the object and being reflected by the object back to the time of flight system
Implementation Method 2
receives reflected light formed by the object reflecting the detection light
Data Source
AI summary
A light source is used for emitting an invisible light toward an object. The object reflects the invisible light and reflected light is formed, and a sensor is used for receiving the reflected light. A processor is coupled to the sensor for recording a time interval of the invisible light traveling from the light source to the object and reflected from the object to the sensor. Then, the processor estimates a measurement distance of the object according to the time interval, and adjusts an emission period of the light source, an exposure period of the sensor, intensity of the invisible light, and/or main sensing range of the sensor according to the measurement distance.