Actuating Image Sensors for Dynamic Object Tracking
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Solution Overview
Problem
Existing image sensor systems face challenges in efficiently tracking moving objects over time, as they require separate data paths and controls for different memory types, leading to inefficiencies in power consumption and processing resources.
Innovation Solution
An array of image sensors coupled with actuators and micro lenses, where the processing resource compares images over time to identify moving objects, activating the actuators to adjust the image sensors' position and adjust resolution and frequency of image capture based on object movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If separate data paths and controls are used for different memory types, then each memory type can be optimized for its specific function, but power consumption increases and processing resources are wasted
Solution Approach 1:
The patent combines multiple memory types (volatile and non-volatile) into a single unified memory device with a shared data path and control interface. This consolidation eliminates the need for separate control circuits and data paths for each memory type, thereby reducing power consumption and processing overhead while maintaining the ability to optimize for specific functions through software-controlled memory management.
2Reliability
If separate data paths and controls are used for different memory types, then each memory type can be optimized for its specific function, but processing resources are consumed inefficiently
Solution Approach 1:
The unified memory device provides multi-functional capability by supporting both volatile and non-volatile memory operations through a single data path and control interface. The memory controller can dynamically allocate and manage different memory regions for various processing tasks, improving overall processing efficiency by eliminating redundant control operations and enabling more flexible resource utilization.
3Measurement precision
If image resolution and capture frequency are maintained at high levels continuously, then image quality is preserved, but energy consumption and processing load increase unnecessarily
Solution Approach 1:
The system dynamically adjusts image capture parameters (resolution and frequency) based on the detected motion of objects in the scene. When motion is detected, the system increases resolution and capture frequency to maintain image quality for moving objects. When no motion is detected, the system reduces these parameters to conserve energy and reduce processing load, thus achieving a balance between image quality and resource consumption.
4Measurement precision
If image resolution and capture frequency are maintained at high levels continuously, then image quality is preserved, but processing resources are overutilized
Solution Approach 1:
The system dynamically adjusts image capture parameters (resolution and frequency) based on the detected motion of objects in the scene. When motion is detected, the system increases resolution and capture frequency to maintain image quality for moving objects. When no motion is detected, the system reduces these parameters to conserve energy and reduce processing load, thus achieving a balance between image quality and resource consumption.
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
Enables efficient tracking of moving objects by optimizing energy use and processing resources, improving image recognition accuracy by dynamically adjusting image resolution and capture frequency in response to object movement.
Implementation Method 1
An image sensor can convert an optical image into an electrical signal
Implementation Method 2
activating the actuator for each image sensor to move the image sensor to a determined location
Data Source
AI summary
Methods and devices related to actuating an image sensor are described. In an example, a method can include generating a first image of an area at a first time using an array of image sensors, wherein each image sensor of the array of image sensors is coupled to a respective actuator, generating a second image of the area at a second time using the array of image sensors, comparing the first image to the second image using a processing resource coupled to the array of image sensors, identifying a moving object based at least in part on comparing the first image to the second image, and activating the actuator for each image sensor of the array of image sensor used to generate the first and second images based at least in part on identifying the moving object.