Similarity Assessment Based on Face Alignment Using Attributed Vectors

The popularity of 3D CAD systems is resulting in large assembly and part databases being created by product development organizations. Over the last few years several content-based techniques have emerged to search these databases. Ability to perform content-based searches on CAD databases is expected to help the designers and manufacturing engineers in many different ways. Representative examples include part-family formation, redesign suggestion generation, supplier selection, cost estimation, tooling design, machine selection, stock selection, and design reuse. This paper covers the following three topics. First, it presents an overview of different types of part search techniques. Second, it presents an overview of the different aspects of assembly search techniques. Finally, it identifies the open challenges in these areas and outlines future research directions.

show abstract

“…Hence, we have developed a new shape similarity assessment technique. This technique is described in [5].…”

Section: Part Search Techniques 31 Search Based On a Query Partmentioning

confidence: 99%

Content-Based Search Techniques for Searching CAD Databases

Gupta

Cardone

Deshmukh

2006

Computer-Aided Design and Applications

View full text Add to dashboard Cite

show abstract

“…The second method uses shape features in identifying similar parts. Representative techniques in this area include [Card06a,Card06b,Cici01,Rame01]. Both these approaches have their own relative merits and demerits.…”

Section: Standard Partmentioning

confidence: 99%

“…Depending on the type of the application, one might prove to be better than the other. We use the approach described in [Card06b].…”

Section: Standard Partmentioning

confidence: 99%

Content-based assembly search: A step towards assembly reuse

Deshmukh

Banerjee

Gupta

et al. 2008

Computer-Aided Design

View full text Add to dashboard Cite

The increased use of CAD systems by product development organizations has resulted in the creation of large databases of assemblies. This explosion of assembly data is likely to continue in the future. In many situations, text-based search alone may not be sufficient to search for assemblies and it may be desirable to search for assemblies based on the content of the assembly models. The ability to perform content-based searches on these databases is expected to help the designers in the following two ways. First, it can facilitate reuse of existing assembly designs, thereby reducing the design time. Second, a lot of useful design for manufacturing and assembly knowledge is implicitly embedded in existing assemblies. Therefore a capability to locate existing assemblies and examine them can be used as a learning tool by designers to learn from the existing assembly designs. This paper describes a system for performing content-based searches on assembly databases. We identify templates for comprehensive search definitions and describe algorithms to perform content-based searches for mechanical assemblies. We also illustrate capabilities of our system through several examples.

show abstract

“…We have developed a part identification tool to determine automatically the presence of such similar looking parts and present them in a way that allows a worker to identify and pick the correct part. For this purpose, a similarity metric between two parts is constructed based on the following attributes [11,12] 3. Gross shape complexity 4.…”

Section: Part Identification Instructionsmentioning

confidence: 99%

Instruction Generation for Assembly Operations Performed by Humans

Kaipa

Morato

Zhao

et al. 2012

Volume 2: 32nd Computers and Information in Engineering Conference, Parts a and B

View full text Add to dashboard Cite

This paper presents the design of an instruction generation system that can be used to automatically generate instructions for complex assembly operations performed by humans on factory shop floors. Multimodal information−text, graphical annotations, and 3D animations− is used to create easy-to-follow instructions. This thereby reduces learning time and eliminates the possibility of assembly errors. An automated motion planning subsystem computes a collision-free path for each part from its initial posture in a crowded scene onto its final posture in the current subassembly. Visualization of this computed motion results in generation of 3D animations. The system also consists of an automated part identification module that enables the human to identify, and pick, the correct part from a set of similar looking parts. The system's ability to automatically translate assembly plans into instructions enables a significant reduction in the time taken to generate instructions and update them in response to design changes. INTRODUCTIONProduct manufacturing involves complex assembly operations that must be performed by humans and/or robots. Within this setting, it is imperative to define the operational roles of the human and the robot appropriately. Whereas robots are superior to humans at handling repetitive tasks like welding and bolting, humans are better at performing tasks like picking, carrying, and placing a wide range of parts without using special fixtures; humans also have a natural ability to handle several assembly equipment easily. However, humans are prone to committing assembly related mistakes. Human workers usually follow a list of instructions to carry out assembly operations on the shop floor. However, poor instructions lead to assembly errors and increased learning time. Therefore, there is a need for effective, and yet, easy-to-follow assembly instructions for humans. Manual generation of such high quality instructions is a time consuming task when utilizing shared setups and tools. This thereby motivates the need for automated generation of instructions for human workers.In this paper, we present the design of an instruction generation system that can be used to automatically generate instructions

show abstract

Similarity Assessment Based on Face Alignment Using Attributed Vectors

Cited by 9 publications

References 21 publications

Content-Based Search Techniques for Searching CAD Databases

Content-Based Search Techniques for Searching CAD Databases

Content-based assembly search: A step towards assembly reuse

Instruction Generation for Assembly Operations Performed by Humans

Contact Info

Product

Resources

About