Depth Image Volume Determination via Segmentation
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Solution Overview
Problem
Existing methods for determining the volume of objects, such as laser-based and manual scale-based methods, are either costly or prone to human error, lacking in accuracy and efficiency.
Innovation Solution
A method and apparatus using a depth image capturing device to obtain a target depth image, segment the image to identify the object region, determine a circumscribed rectangle, and calculate the volume based on depth data, employing algorithms like frame difference and connected region analysis for accurate and efficient volume determination without manual intervention or laser devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If laser-based determination method is used, then measurement precision is improved, but device cost increases
Solution Approach 1:
The patent replaces the laser-based mechanical measurement system with a depth image capturing device (camera) combined with image processing algorithms. The depth camera captures spatial information optically, and computational methods calculate volume from the depth images, eliminating the need for expensive laser measurement devices while maintaining measurement capability.
Solution Approach 2:
The patent creates a digital copy of the object's three-dimensional shape through depth image capture and processing. Instead of directly measuring with physical laser devices, the system captures optical depth information, processes it into a digital depth map, and calculates volume from this digital representation, achieving measurement through information copying rather than direct physical measurement.
2Ease of manufacture
If manual scale-based determination method is used, then device cost is reduced, but measurement precision and productivity deteriorate
Solution Approach 1:
The patent replaces manual mechanical measurement with automated optical-depth imaging and computational processing. The depth camera and image processing system automatically capture and calculate volume without human intervention, eliminating manual operation errors while maintaining low device cost compared to laser systems.
Solution Approach 2:
The system performs self-measurement by automatically capturing depth images, processing the depth data, and calculating volume without requiring manual cooperation. The automated pipeline from depth image capture to volume calculation eliminates human involvement in the measurement process, ensuring consistent precision and improving productivity.
3Ease of manufacture
If manual scale-based determination method is used, then device cost is reduced, but productivity deteriorates
Solution Approach 1:
The patent enables continuous volume measurement by capturing depth images in sequence and processing them through an automated pipeline. The system can continuously capture object depth information and calculate volumes without interruption, eliminating the discontinuous nature of manual measurement and significantly improving measurement efficiency and throughput.
Solution Approach 2:
The automated depth image processing system performs measurements independently without requiring manual intervention at each step. The system self-captures depth data, self-processes the images, and self-calculates volumes, enabling high-speed continuous operation that greatly exceeds manual measurement productivity while keeping device costs low.
4Device complexity
If manual scale-based determination method is used, then device complexity is reduced, but reliability deteriorates due to human error
Solution Approach 1:
The patent implements an automated measurement system that performs all measurement tasks without human intervention. The depth camera automatically captures data, the processing algorithms automatically calculate volume, and the system outputs results consistently. This eliminates human error sources such as reading mistakes, calculation errors, and emotional factors, significantly improving measurement reliability and consistency.
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 approach provides high accuracy and efficiency in determining object volume at a lower economic cost, automating the process and eliminating human error, thus overcoming the limitations of previous methods.
Implementation Method 1
obtaining a target depth image containing a target object which is captured by a depth image capturing device
Data Source
AI summary
A method for determining volume of an object includes: obtaining a target depth image containing a target object which is captured by a depth image capturing device (S101); performing segmentation based on depth data in the target depth image to obtain a target image region corresponding to the target object (S102); determining a target circumscribed rectangle that corresponds to the target image region and meets a predetermined condition (S103); determining volume of the target object based on the target circumscribed rectangle and the depth data of the target depth image (S104). Compared to the laser-based determination method in the prior art, this method employs a depth image capturing device without a laser measurement device, and thus the economic cost is lower. Further, compared to the manual scale-based determination method in the prior art, the method employs a software program to automatically determine volume without manual cooperation, and has a higher accuracy and efficiency. It can be seen that the present scheme achieves a high accuracy, a high efficiency and a lower economic cost in determining volume of the object. An apparatus for determining volume of an object is further provided.