Matches in SemOpenAlex for { <https://semopenalex.org/work/W4316659675> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W4316659675 abstract "Robotic arm is a powerful mechanism used in industries to carry out pick and place tasks with great speed and accuracy. This task can either be accomplished by an arm that follows a preprogramed trajectory or an arm that can use its own intelligence to complete the task using Machine Learning. The problem with an arm which lacks intelligence is that with changing circumstances they cannot acclimatize well, the arm needs human intervention to reprogram as per requirement and perform only as per instructed. However, the intelligent robotic arm can be made capable enough to make its own decision for tasks. Some already prevailing projects in this domain are majorly based on sensors for the classification and detection of objects for pick and place tasks. The arm that uses a color-based sensor for detection majorly has a drawback that is less accurate in exact color detection of objects and detection time is also compromised and if sensors fail, the entire system will not perform the intended task. To address this problem, we propose using the Faster Region-Based Convolutional Neural Networks ML model to implement an arm capable of automatically sorting red and blue boxes by capturing their images with an OV5674 camera and processing them on a Raspberry Pi 3 B+ to accurately detect and classify red and blue boxes. The mechanical arm movement is ensured by a precise inverse kinematic model, which helps pick and segregate packets according to the color they possess. Both accuracy and real-time computing performance are good in the experimental findings of the Faster RCNN model. The precision we achieved by using the Faster RCNN model is 78.8% for detecting and sorting red and blue boxes. Hence, experimentation using Faster RCNN for smart robotic arm has successfully resulted in good outcomes." @default.
- W4316659675 created "2023-01-17" @default.
- W4316659675 creator A5042459404 @default.
- W4316659675 creator A5064234180 @default.
- W4316659675 creator A5064976615 @default.
- W4316659675 creator A5088388047 @default.
- W4316659675 date "2022-08-26" @default.
- W4316659675 modified "2023-09-27" @default.
- W4316659675 title "Implementation of Faster RCNN Algorithm for Smart Robotic ARM Based on Computer Vision" @default.
- W4316659675 cites W1905372696 @default.
- W4316659675 cites W1997543377 @default.
- W4316659675 cites W2010919032 @default.
- W4316659675 cites W2084000787 @default.
- W4316659675 cites W2221966040 @default.
- W4316659675 cites W2416418270 @default.
- W4316659675 cites W2532750089 @default.
- W4316659675 cites W2756007021 @default.
- W4316659675 cites W2791163102 @default.
- W4316659675 cites W2806252395 @default.
- W4316659675 cites W2807779276 @default.
- W4316659675 cites W2883344485 @default.
- W4316659675 cites W2884085616 @default.
- W4316659675 cites W2891336752 @default.
- W4316659675 cites W2984249216 @default.
- W4316659675 cites W2986189201 @default.
- W4316659675 cites W3004200825 @default.
- W4316659675 cites W3034368724 @default.
- W4316659675 cites W3039036380 @default.
- W4316659675 cites W3109901042 @default.
- W4316659675 cites W3125183249 @default.
- W4316659675 cites W3132765992 @default.
- W4316659675 cites W3161782440 @default.
- W4316659675 doi "https://doi.org/10.1109/iccubea54992.2022.10010930" @default.
- W4316659675 hasPublicationYear "2022" @default.
- W4316659675 type Work @default.
- W4316659675 citedByCount "0" @default.
- W4316659675 crossrefType "proceedings-article" @default.
- W4316659675 hasAuthorship W4316659675A5042459404 @default.
- W4316659675 hasAuthorship W4316659675A5064234180 @default.
- W4316659675 hasAuthorship W4316659675A5064976615 @default.
- W4316659675 hasAuthorship W4316659675A5088388047 @default.
- W4316659675 hasConcept C121332964 @default.
- W4316659675 hasConcept C127413603 @default.
- W4316659675 hasConcept C1276947 @default.
- W4316659675 hasConcept C13662910 @default.
- W4316659675 hasConcept C150415221 @default.
- W4316659675 hasConcept C154945302 @default.
- W4316659675 hasConcept C201995342 @default.
- W4316659675 hasConcept C2780451532 @default.
- W4316659675 hasConcept C31972630 @default.
- W4316659675 hasConcept C41008148 @default.
- W4316659675 hasConcept C81363708 @default.
- W4316659675 hasConceptScore W4316659675C121332964 @default.
- W4316659675 hasConceptScore W4316659675C127413603 @default.
- W4316659675 hasConceptScore W4316659675C1276947 @default.
- W4316659675 hasConceptScore W4316659675C13662910 @default.
- W4316659675 hasConceptScore W4316659675C150415221 @default.
- W4316659675 hasConceptScore W4316659675C154945302 @default.
- W4316659675 hasConceptScore W4316659675C201995342 @default.
- W4316659675 hasConceptScore W4316659675C2780451532 @default.
- W4316659675 hasConceptScore W4316659675C31972630 @default.
- W4316659675 hasConceptScore W4316659675C41008148 @default.
- W4316659675 hasConceptScore W4316659675C81363708 @default.
- W4316659675 hasLocation W43166596751 @default.
- W4316659675 hasOpenAccess W4316659675 @default.
- W4316659675 hasPrimaryLocation W43166596751 @default.
- W4316659675 hasRelatedWork W1562288862 @default.
- W4316659675 hasRelatedWork W1978753601 @default.
- W4316659675 hasRelatedWork W2000407620 @default.
- W4316659675 hasRelatedWork W2061662597 @default.
- W4316659675 hasRelatedWork W2095989223 @default.
- W4316659675 hasRelatedWork W2147818368 @default.
- W4316659675 hasRelatedWork W2198681394 @default.
- W4316659675 hasRelatedWork W2740885077 @default.
- W4316659675 hasRelatedWork W2963891724 @default.
- W4316659675 hasRelatedWork W4246474087 @default.
- W4316659675 isParatext "false" @default.
- W4316659675 isRetracted "false" @default.
- W4316659675 workType "article" @default.