System for detecting and recognizing traffic signs in vehicle e.g. car using deep learning, has main unit which increases number of layers and changes activation functions of existing system to increase the efficiency of model, where model accurately predicts almost every possible traffic signs
	KALIYAMURTHIE K P; BHARGAVI M; SHAHANAZ S; SRIKRUPA S; THIRUPURASUNDARI D R
	2023-10-16
专利权人	BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
申请日期	2023-10-16
专利号	IN202341069901-A
成果简介	NOVELTY - The system has main unit which is provided to increase number of layers and change activation functions of existing system to increase the efficiency of the model. The model is provided to accurately predict almost every possible traffic signs, so that the computational power is reduced and the accuracy of the model is improved, and better results are provided. USE - System for detecting and recognizing traffic signs in vehicle e.g. car using deep learning. ADVANTAGE - The system is much powerful due to heavy architecture, ensures road safety and accuracy, contains more semantic meaning of the generated text and achieves better result. The model accurately predicts almost every possible traffic signs, so that the computational power is reduced and the accuracy of the model is improved, and better results are provided.
IPC 分类号	G06K-009/62 ; G06N-020/00 ; G06N-003/08 ; G06V-020/58
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/19832
专题	中国科学院新疆生态与地理研究所
作者单位	BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
推荐引用方式 GB/T 7714	KALIYAMURTHIE K P,BHARGAVI M,SHAHANAZ S,et al. System for detecting and recognizing traffic signs in vehicle e.g. car using deep learning, has main unit which increases number of layers and changes activation functions of existing system to increase the efficiency of model, where model accurately predicts almost every possible traffic signs. IN202341069901-A[P]. 2023.

条目包含的文件
条目无相关文件。

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。