Deep learning and additive manufacturing have progressed together in the previous couple of decades. Despite being one of the most promising technologies, they have several flaws that a collaborative effort may address. However, digital manufacturing has established itself in the current industrial revolution and it has slowed down quality control and inspection due to the different defects linked with it. Industry 4.0, the most recent industrial revolution, emphasizes the integration of intelligent production systems and current information technologies. As a result, deep learning has received a lot of attention and has been shown to be quite effective at understanding image data. This review aims to provide a cutting-edge deep learning application of the AM approach and application. This article also addresses the current issues of data privacy and security and potential solutions to provide a more significant dimension to future studies.
Recently there are many vehicle users have difficulty to find a parking area because no information full or empty parking slot so that it can cause congestion, pollution, and fuel inefficiency, because of these conditions can cause difficulty in controlling the parking management. By using microcontroller smart parking system (based on IoT) parking problems can be resolved. Smart Parking System is designed to make easier for parking users to get information on the availability of empty and filled parking slots, in addition to that parking users can also book for parking slots using web based applications. There are many phases to implement microcontroller based Smart Parking System i.e requirements systems, prototyping development, prototyping evaluation, coding system, testing and evaluation system. This system uses hardware such as Arduino Mega, Arduino Uno, Ethernet Shield, PN532, LDR, and NFC. The programming language used is C to configure Arduino and PHP which are used for the web interface while MySQL for database server. By Smart Parking Application, it is expected to help parking service users to get information and find empty parking slots through booking in the application so that it will be more efficient in time and parking management will be more controlled.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.