Skip to main content

Redefining Smart Factory with 5G

 Exploring the potential of 5G and multi-access edge computing with use cases

Since the past few years, enterprises are moving infrastructure to a centralized cloud, enabled by virtualization. This helps reduce time to market for new services and reduce total cost of ownership. 

Centralized cloud is apt for today’s use cases where ultra-low latency communication is not the predominant factor. However, in recent years, we are observing the emergence of new technologies such as augmented and virtual reality, autonomous factories, and IoT driven smart factories where data is increasingly being produced at the user end of the network. 

This in turn is increasing the demand for real time analytics and personalization at the edge itself. 

As public edge moves closer to the sites, it will allow enterprises to gain the benefits of better computing power in close proximity to end-users, without the need to own and operate associated infrastructure. 

5G and multi-access edge computing (MEC) will help enterprises by enabling solutions that exploit AI, IoT, analytics and cloud to deliver massive device connectivity, innovative technology experiences and near real-time automation.

TCS’ Communications, Media and Information Services (CMI) and Manufacturing business groups recently partnered with Verizon (5G MEC) and Amazon Web Services (AWS) Wavelength to test ultra-low latency applications for mobile devices on the newly launched AWS Wavelength. 

We tested two industry use cases – Intelligent real-time visual quality inspection for a smart factory and real-time digital (traffic) surveillance. Let’s take a closer look at these use cases to bring out the potential of exploiting edge and 5G. 

A connected digital ecosystem 

# 1 Machine vision based defect detection in a smart factory:  A smart factory leverages AI, robotics, smart devices, smart computing, intelligence at the edge, and various self-healing systems. The use of cutting-edge technologies in communication and edge analytics makes the smart factories highly responsive to the demands of operational processes – a key ask for high-speed operations. 

For instance, videos from a smart factory assembly line, captured by IP based cameras, are transmitted using the Real Time Messaging Protocol (RTMP) protocols over the 5G bandwidth to servers in an edge zone. This reduces the time of transport to the processing server on edge with Graphics Processing Units (GPUs) deployed to process the videos. The video is then processed frame by frame and a processed frame is sent back to the console or device over 5G again, from which the machine operator who is monitoring the process, takes a decision. 

The decision module can also send a direct command from application to start or stop the assembly line or process. The response back to Programmable Logic Controllers (PLCs), or assembly line demands high latency which is supported by the 5G network. Leveraging 5G’s bandwidth and latency as well as proximity of plant to edge zones, can help move the workloads to edge zones efficiently. 

# 2 Real time digital  surveillance: Another fast-growing application in the physical security sector is CCTV cameras with AI capabilities. Amid the rising concern for public safety and security, governments around the world are pushing for better surveillance. 5G network provides a highly reliable, higher bandwidth, and low latency connectivity. 

The real-time video surveillance use case solution on edge enables intelligent processing and analytics of livestream video in ultra-low latency with a high degree of image and video resolution. The solution utilizes a deep neural network, deployed on edge cloud over 5G networks. It enables real-time detection of vehicle number plate and illegal parking to send notifications to owner or authorities. It offers the potential of scalable, robust and uninterrupted surveillance systems used for near real-time response in emergencies and public safety situations, as well as smart city applications. Instead of sending all video surveillance data to the cloud, multi-access edge computing reduces the security risk by processing data locally within the edge of AI enabled 5G network.

Moving intelligence to the edge for sharper, real time insights

5G network provides a highly reliable, higher bandwidth, and low latency connectivity for  - the smart factory and remote video real time digital surveillance solutions. 

The 5G-based surveillance solutions must be edge native and capable of fusing high-speed networks, driving more intense local processing, and is backed by an edge cloud infrastructure. The latter is capable of storing and analyzing data, streaming from a multitude of connected devices.

Edge cloud coupled with 5G’s high bandwidth, low latency, and increased connectivity ensures a firm step forward towards building truly connected smart factories with data flowing seamlessly between machines and enabling digital twin based industrial automation. 

Further, AI-enabled 5G cameras leveraging video analytics can be implemented for improving the traffic flow in real-time by detecting various traffic conditions.  The time is ripe to make AI powered real time decisioning at the edge a reality.  

Labels:

Comments

Post a Comment

Popular posts from this blog

Social Responsibililty

                                                                        SOCIAL RESPONSIBILITY Social Responsiblity   is an ethical framework and suggests that an entity, be it an organization or individual, has an obligation to act for the benefit of society at large.  Social responsibility  is a duty every individual has to perform so as to maintain a balance between the economy and the ecosystems.  4 Types of Social Responsibility Corporate Environmental Responsibility. ... Corporate Human Rights Responsibility. ... Corporate Philanthropic Responsibility. ... Corporate Economic Responsibility. Some of the common Responsibility for example given below: Reducing carbon footprints. Improving labor policies. Participating in fair trade. Charitable givin...
15 comments
Read more

Online Education

ONLINE EDUCATION Online education is a flexible instructional delivery system that encompasses any kind of learning that takes place via the  Internet . Online learning gives educators an opportunity to reach students who may not be able to enroll in a traditional classroom course and supports students who need to work on their own schedule and at their own pace. The quantity of distance learning and online degrees in most disciplines is large and increasing rapidly. Schools and institutions that offer online learning are also increasing in number. Students pursuing degrees via the online approach must be selective to ensure that their coursework is done through a respected and credentialed institution. POSITIVE AND NEGATIVE EFFECTS OF LEARNING ONLINE Online education offers many positive benefits since students: have flexibility in taking classes and working at their own pace and time face no commuting or parking hassles learn to become responsible for their own education with in...
12 comments
Read more

COVID-19 Drives Insurers to Revisit Actuarial Models

The COVID-19 pandemic has taken a huge toll on people and economies alike.  Governments and central banks worldwide have introduced a slew of fiscal measures to infuse liquidity and stability in the market.  However, in spite of these measures, the financial markets are expected to remain highly volatile for a significant duration, likely to worsen further due to lowering of interest rates and increasing credit spread gaps as well as risk of mortgage defaults.  Insurers therefore need to assess the impact on their solvency margins and IRRs, and re-assess the assumptions around mortality and morbidity rates, operational and financial costs, claims and losses, and so on.   Actuaries must review existing strategies and products and construct new ones to handle evolving risks and their interactions to be able to better model assets and liabilities as well as analyze asset and capital adequacies Moreover, insurers will have to perform strong scenario testing to identify k...
3 comments
Read more