A two-stage CNN-based hand-drawn electrical and electronic circuit component recognition system

2021 ◽  
Author(s):  
Mrityunjoy Dey ◽  
Shoif Md Mia ◽  
Navonil Sarkar ◽  
Archan Bhattacharya ◽  
Soham Roy ◽  
...  
Keyword(s):  
Electronic Circuit ◽  
Recognition System ◽  
Two Stage ◽  
Circuit Component ◽  
Component Recognition

scholarly journals Freehand to Digital Circuit Reconstruction Using HOG and SVM

2021 ◽  
Vol 40 ◽  
pp. 03009
Author(s):  
Shristi Mittal ◽  
Rhutuja Satpute ◽  
Shubhamm Mohitte ◽  
Leena Ragha ◽  
Dhanashri Bhosale
Keyword(s):  
Response Time ◽  
High Precision ◽  
Electronic Circuit ◽  
Fast Response ◽  
Digital Circuit ◽  
Considerable Time ◽  
Segmented Image ◽  
Scanned Image ◽  
Circuit Component ◽  
Pencil And Paper

Sketches are commonly used in the fields of engineering and architecture, especially for the early design phases. Engineers spend considerable time setting up initial designs using pencil and paper, and then redrawing them to any software. This problem can be solved by using the idea to scan the circuit sketch with android device which is drawn on the paper and translate it into standard layouts and run circuit simulations. The scanned image will be pre-processed and further segmented. The segmented image will be used to extract the features which are in turn given for classification. Recognizing sketches may seem so quick and intuitive to humans but it is really a big challenge for the machine. In this proposed work the aim is to achieve high precision trainable electronic circuit component recognizer for sketched circuits with fast response time and simple extensibility to new components.

scholarly journals Multi-View Hand-Hygiene Recognition for Food Safety

2020 ◽  
Vol 6 (11) ◽  
pp. 120
Author(s):  
Chengzhang Zhong ◽  
Amy R. Reibman ◽  
Hansel A. Mina ◽  
Amanda J. Deering
Keyword(s):  
Food Safety ◽  
Hand Hygiene ◽  
Low Cost ◽  
Recognition System ◽  
Food Handling ◽  
Two Stage ◽  
Camera System ◽  
Third Person ◽  
Stage System ◽  
Handling Practices

A majority of foodborne illnesses result from inappropriate food handling practices. One proven practice to reduce pathogens is to perform effective hand-hygiene before all stages of food handling. In this paper, we design a multi-camera system that uses video analytics to recognize hand-hygiene actions, with the goal of improving hand-hygiene effectiveness. Our proposed two-stage system processes untrimmed video from both egocentric and third-person cameras. In the first stage, a low-cost coarse classifier efficiently localizes the hand-hygiene period; in the second stage, more complex refinement classifiers recognize seven specific actions within the hand-hygiene period. We demonstrate that our two-stage system has significantly lower computational requirements without a loss of recognition accuracy. Specifically, the computationally complex refinement classifiers process less than 68% of the untrimmed videos, and we anticipate further computational gains in videos that contain a larger fraction of non-hygiene actions. Our results demonstrate that a carefully designed video action recognition system can play an important role in improving hand hygiene for food safety.

An Interactive and Intelligent Tool for Circuit Component Recognition Through Virtual Reality

2017 ◽  
pp. 370-379
Author(s):  
Shriram K. Vasudevan ◽  
S. N. Abhishek ◽  
N. K. Keerthana ◽  
Rajan Priyanka ◽  
A. Aravinth ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Circuit Component ◽  
Component Recognition

Circuit Component Detection in Offline Handdrawn Electrical/Electronic Circuit Diagram

2020 ◽  
Author(s):  
Archan Bhattacharya ◽  
Soham Roy ◽  
Navonil Sarkar ◽  
Samir Malakar ◽  
Ram Sarkar
Keyword(s):  
Electronic Circuit ◽  
Circuit Diagram ◽  
Circuit Component
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