Utilizing Deep Learning to Detect Objects in Real Time
| Autor: | Annapoorani V, Ananth S, Pradeep N |
|---|---|
| Rok vydání: | 2023 |
| Předmět: |
Pharmacology
Ecology Physics and Astronomy (miscellaneous) Physiology General Chemical Engineering Organic Chemistry Biomedical Engineering Pharmaceutical Science General Physics and Astronomy Plant Science General Chemistry Condensed Matter Physics Biochemistry Analytical Chemistry Surfaces Coatings and Films Complementary and alternative medicine Nuclear Energy and Engineering Drug Discovery Molecular Medicine Agronomy and Crop Science Ecology Evolution Behavior and Systematics |
| Zdroj: | International Journal for Research in Applied Science and Engineering Technology. 11:1116-1120 |
| DOI: | 10.22214/ijraset.2023.51703 |
| Popis: | Computer vision is related to object detection. Detecting instances of objects in images and videos is made possible by object detection. It recognizes the component of Pictures rather than conventional article recognition techniques and produces an keen comprehension of pictures very much like human vision works. In this paper, We restored starts the concise presentation of profound learning and item discovery system like Convolutional Brain Network (CNN), Repetitive brain network (RNN), quicker RNN, You just look once (Consequences be damned). After that, we concentrate on the modifications to our object detection architectures that we have proposed. In images, the conventional model can identify a small object. We have a few changes to the model. The method we propose yields the correct result precisely. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|