Emerging Trends in Robotics and automation in 3pl industry
•Download as PPTX, PDF•
0 likes•5 views
This slides explains a purpose of emerging trends in automation and robotics in third political logics (3pl) industry
Report
Share
Report
Share
Recommended
Create a common view of the intra-logistics landscape for the next 5-10 years...
Automobile Co. offers material handling equipments for distribution. To be able to offer the optimal products & services, client seeks to know the drivers and trends shifting intralogistics. The SprintlyWorks team did extensive research on customer values, equipment capabilities, emerging technologies. The industries were 3PL and e-commerce.
Intelligent Transportation System Based On Machine Learning For Vehicle Perce...
The document discusses using machine learning for intelligent transportation systems based on vehicle perception. It provides an overview of how machine learning has been increasingly used for tasks like vehicle detection, counting, classification, identification and speed detection. Specifically, it describes approaches like background subtraction, optical flow and deep learning models that have been applied to problems in traffic monitoring, management and road safety. The document also reviews common computer vision algorithms in OpenCV that can be utilized for these tasks and considers factors like speed, accuracy and complexity in choosing the appropriate methods.
Tradeshift_Report_DisruptionofShipping&Logistics
This document discusses emerging technologies that are poised to disrupt the shipping and logistics industry, including hyperloop transportation, drones, and 3D printing. Hyperloop involves using vacuum tubes to transport cargo and passengers at over 550 mph, cutting travel times significantly. Drones may be used for product delivery and in warehouses to expedite operations. 3D printing allows on-demand manufacturing, reducing transportation needs and costs. The document argues that supply chain leaders need to consider how to adapt processes and infrastructure to support the agility required to survive and compete in this changing technological landscape.
Technology innovation in logistics
This document discusses various technologies that are improving logistics and transportation, including:
1. RFID tracking technology is being used in yards, shipping, distribution centers, railroads, airports, and other areas to track goods and increase supply chain visibility. However, privacy concerns exist regarding personal information.
2. Sensors using GSM technology can track temperature, humidity, shock, and other factors for pharmaceuticals and medical goods.
3. The growing Internet of Things and connected devices will create large pools of information and data for new software, services and analysis.
4. Amazon uses warehouse robots from Kiva Systems to automate moving items to fulfill orders more efficiently.
How technology is impacting the logistics industry
Technology evolution is pushing the boundaries and changing the way business is done around the world. Advanced technology in the supply chain has improved productivity, minimizing expenses and failures.
Intelligent Transportation Systems across the world
This document provides an overview of intelligent transportation systems across different parts of the world. It discusses the history and development of ITS, including early systems in the US, Japan, Germany and other countries. It then covers the role of ITS in urban transportation systems, highlighting technologies like electronic toll collection, ramp metering, red light cameras, traffic signal coordination, and transit signal priority. The document also looks at ITS developments and applications in regions like the US, Europe, Middle East, India, and gaps in applying ITS to Indian traffic conditions.
Critical logistics technology in the 21st century
The document discusses emerging technologies that are driving innovation in logistics, including the Internet of Things, big data, cloud computing, robotics and automation, 3D printing, and autonomous vehicles. It analyzes how these technologies are enabling new applications and business models in areas like predictive analytics, crowdsourced delivery, and on-demand logistics networks. Several case studies of companies applying these innovative technologies are also highlighted.
Dharmendra UPES.ppt
The document is a project report on how artificial intelligence is transforming logistics and supply chain management.
It discusses how AI can help with demand forecasting and production optimization. The objectives are to study how AI can help optimize warehouse locations and inventory levels, and make production lines more efficient. It also provides an overview of Om Trans Logistics, describing their services, infrastructure, global network, and quality standards. The literature review discusses how AI can enable accurate demand forecasting, efficient warehouses, on-time deliveries, and better customer support.
Recommended
Create a common view of the intra-logistics landscape for the next 5-10 years...
Automobile Co. offers material handling equipments for distribution. To be able to offer the optimal products & services, client seeks to know the drivers and trends shifting intralogistics. The SprintlyWorks team did extensive research on customer values, equipment capabilities, emerging technologies. The industries were 3PL and e-commerce.
Intelligent Transportation System Based On Machine Learning For Vehicle Perce...
The document discusses using machine learning for intelligent transportation systems based on vehicle perception. It provides an overview of how machine learning has been increasingly used for tasks like vehicle detection, counting, classification, identification and speed detection. Specifically, it describes approaches like background subtraction, optical flow and deep learning models that have been applied to problems in traffic monitoring, management and road safety. The document also reviews common computer vision algorithms in OpenCV that can be utilized for these tasks and considers factors like speed, accuracy and complexity in choosing the appropriate methods.
Tradeshift_Report_DisruptionofShipping&Logistics
This document discusses emerging technologies that are poised to disrupt the shipping and logistics industry, including hyperloop transportation, drones, and 3D printing. Hyperloop involves using vacuum tubes to transport cargo and passengers at over 550 mph, cutting travel times significantly. Drones may be used for product delivery and in warehouses to expedite operations. 3D printing allows on-demand manufacturing, reducing transportation needs and costs. The document argues that supply chain leaders need to consider how to adapt processes and infrastructure to support the agility required to survive and compete in this changing technological landscape.
Technology innovation in logistics
This document discusses various technologies that are improving logistics and transportation, including:
1. RFID tracking technology is being used in yards, shipping, distribution centers, railroads, airports, and other areas to track goods and increase supply chain visibility. However, privacy concerns exist regarding personal information.
2. Sensors using GSM technology can track temperature, humidity, shock, and other factors for pharmaceuticals and medical goods.
3. The growing Internet of Things and connected devices will create large pools of information and data for new software, services and analysis.
4. Amazon uses warehouse robots from Kiva Systems to automate moving items to fulfill orders more efficiently.
How technology is impacting the logistics industry
Technology evolution is pushing the boundaries and changing the way business is done around the world. Advanced technology in the supply chain has improved productivity, minimizing expenses and failures.
Intelligent Transportation Systems across the world
This document provides an overview of intelligent transportation systems across different parts of the world. It discusses the history and development of ITS, including early systems in the US, Japan, Germany and other countries. It then covers the role of ITS in urban transportation systems, highlighting technologies like electronic toll collection, ramp metering, red light cameras, traffic signal coordination, and transit signal priority. The document also looks at ITS developments and applications in regions like the US, Europe, Middle East, India, and gaps in applying ITS to Indian traffic conditions.
Critical logistics technology in the 21st century
The document discusses emerging technologies that are driving innovation in logistics, including the Internet of Things, big data, cloud computing, robotics and automation, 3D printing, and autonomous vehicles. It analyzes how these technologies are enabling new applications and business models in areas like predictive analytics, crowdsourced delivery, and on-demand logistics networks. Several case studies of companies applying these innovative technologies are also highlighted.
Dharmendra UPES.ppt
The document is a project report on how artificial intelligence is transforming logistics and supply chain management.
It discusses how AI can help with demand forecasting and production optimization. The objectives are to study how AI can help optimize warehouse locations and inventory levels, and make production lines more efficient. It also provides an overview of Om Trans Logistics, describing their services, infrastructure, global network, and quality standards. The literature review discusses how AI can enable accurate demand forecasting, efficient warehouses, on-time deliveries, and better customer support.
Top 9 Trends and Technologies Reshaping Supply Chain Management | The Enterpr...
Here are 9 major trends and technological developments for the future of supply chain management: 1. Supply Chain Agility 2. Artificial and Augmented Intelligence 3. Real-Time Supply Chain Visibility 4. Digital Twins 5. Blockchain 6. Data Standards and Advanced Analytics
A REVIEW ON IOT IN TRANSPORTATION SECTOR
This document provides a review of how Internet of Things (IoT) technology can be applied in the transportation sector. It discusses the opportunities that IoT presents to address complex issues in transportation systems. The key aspects covered include:
1. The architecture of an IoT system for transportation, which consists of 5 layers - application, sensing, communication, service, and infrastructure layers.
2. Examples of IoT applications in transportation like logistics, toll payment systems, vehicle tracking, supply chain management, and smart vehicle technologies.
3. The benefits of implementing IoT in transportation include optimized routes, demand-based services, improved public safety, and reduced fuel costs through efficiency.
How close are autonomous vehicles to consumers? - San Francisco Green Careers
In and around Silicon Valley we occasionally spot a driverless car, in particular the Google 'self-d...
Leveraging IoT Testing to manage Supply Chain Risks.pdf
IoT is a game-changing technology that has had a significant impact on sectors like retail, transportation, banking, healthcare, and energy. When it comes to supply chain management, the Internet of Things can be extremely handy. Applications for management, forecasting, and supervision assist fleet managers in increasing operational distribution efficiency and adding transparency to decision-making.
Transportation Technology Vision 2019
The transportation industry is entering a post-digital era where emerging technologies like artificial intelligence, extended reality, distributed ledgers, and quantum computing will transform operations and customer experiences. These technologies provide opportunities in first-mile/last-mile services, seamless convenience tailored to customer preferences, improved passenger safety and data security, and optimized asset management. To take advantage, companies must strategically choose opportunities, define their role in the new landscape, and prepare employees and systems for technological change.
IoT VISION FOR SMART PORTS
The document discusses the concept of a "smart port" and how Internet of Things (IoT) technologies can enable ports to become more efficient and optimized. It provides examples of ports that have implemented IoT solutions, such as the Port of Barcelona which uses sensors and networks to track vehicles and equipment, monitor air quality, and automate processes. The document also discusses how blockchain could be applied to port logistics for secure data sharing. Finally, it argues that smart ports should be considered within the context of the surrounding city and region, with all locations sharing and analyzing data through the IoT to improve operations across the "smart axis" of port, city and region.
Megatron blog.pdf
Operations and warehousing are necessary pieces of an organization's supply chain. This provides the basic foundation expected to move products from where they are delivered to end clients. Businesses like Durgapur Logistics Truck are quickly expanding because of advances in innovation and the general development of India and the worldwide economy.
What does the future hold? With the advances in innovation, planned operations, and warehousing, organizations may utilize many robotized frameworks to deal with their fleets. These mechanized frameworks can incorporate versatile dispatch and global positioning frameworks, continuous examination, and high-level arsenal enhancement calculations, to give some examples. Mechanizing the board cycle will permit directors to screen and control the armada all day, every day, and proactively address any issues rapidly, proficiently, and precisely. It additionally permits them to recognize potential chances to lessen working expenses and boost efficiency. Besides, vehicle following and correspondence innovation progressions will likewise work on armadas' well-being and security.
New advances like the Internet of Things (IoT) and computerized reasoning (artificial intelligence) are probably going to enter the market and assist it in working better. Supply chains will be robotized and streamlined, utilizing artificial intelligence-driven advancements. These advancements are once in a while joined with specific mediation for development in execution. The methodology for development joins in-vehicle innovation with coordinated online applications that persistently screen and rate boundaries like driving behavior, preventive support, complaint components, course content, and so on. Stocking, transporting, and different exercises also will be followed and observed through IoT-empowered sensors and gadgets.
Also, the planned operations and warehousing area are placing an increasingly greater emphasis on ecological obligation and manageability. Moving toward green schooling has become of great importance. Distribution centers are sending sunlight to nearby environmentally friendly power frameworks as well as gathering water for energy preservation. A few additional famous and ingenious strategies incorporate introducing warm-covered bubble sheets and highly sun-oriented intelligent file paint on the top of stockrooms to control temperature and safeguard the material from maturing and surface corruption. To satisfy the developing need for economical operations and warehousing, organizations are effectively putting resources into environmentally friendly power, energy-productive structures, and exhaustive preparation for their representatives on decreasing their carbon footprint.
Impacts of internet of things on supply chains
The document discusses a framework for implementing Internet of Things (IoT) technology in warehouse management. It proposes that IoT can provide real-time visibility of inventory, increase efficiency, and prevent shortages. The framework gives enterprises a roadmap to improve warehouses using IoT. Specifically, it connects physical objects through sensors, collects real-time data, and uses that data for automated decision making to better manage inventory levels and warehouse operations.
Review Smart Traffic Management System
The number of automobiles on the road will only increase due to the ever increasing population development in urban areas across the world and manufacturers ongoing manufacturing of all types of vehicles. This inevitably causes additional traffic congestion, which is exacerbated during rush hour and especially in big urban areas. Urban planners, local officials, and academics are continuously under pressure from this phenomenon to find methods to make traffic management systems safer and more cost effective. Numerous researches have been carried out to solve this ongoing issue, leading to some major advancements like specific lanes for emergency vehicles in metropolitan areas. Even with these lanes, it is sometimes challenging to meet the appropriate goal timeframes for emergency vehicles to arrive at their locations. Intelligent Transportation System is a fresh approach that aims to solve this problem ITS . By fusing present infrastructure with existing technologies, this approach can aid in problem solving. In this paper, three alternative traffic management techniques RFID, Internet of Things, and Traffic Light Systems TLS , which can be static or dynamic IoT . In the latter approach, traffic data are swiftly gathered and delivered to Big Data for analysis, while mobile applications, also known as User Interface UI , are used to evaluate traffic density in various places and offer alternate traffic relief suggestions. Bharti Kumari | Vinod Mahor "Review: Smart Traffic Management System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-5 , August 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50595.pdf Paper URL: https://www.ijtsrd.com/computer-science/other/50595/review-smart-traffic-management-system/bharti-kumari
IRJET- Traffic Prediction Techniques: Comprehensive analysis
This document provides a comprehensive literature review and analysis of various traffic prediction techniques. It begins with an abstract that outlines the need for accurate traffic forecasting to address issues caused by increased road traffic. The document then reviews several existing traffic prediction methods and technologies, including fuzzy logic-based systems, intelligent traffic signal controllers, dynamic traffic information systems, and frameworks that utilize IoT, cloud computing, and machine learning. It identifies gaps in current literature, such as a lack of sensor data and advanced application frameworks for prediction. Finally, the document presents several comparison tables analyzing traffic prediction techniques based on the datasets, parameters, merits and demerits of each approach. The overall purpose is to conduct a systematic analysis of past work and identify future research
СОЕДИНЕННЫЙ МИР
This document discusses the opportunities presented by the Internet of Things. It begins with an overview of what the IoT is and why it is exciting, noting the large potential value and growth in connected devices. It then reviews technology trends like increasing battery life, sensor usage, network coverage, and data analytics capabilities that are enabling the IoT. Examples are given of early IoT validations in areas like connected cars, fleet management, smart buildings, wearables, and item-level logistics visibility. The document outlines the complex IoT ecosystem involving hardware, connectivity, software infrastructure, analytics, and applications. It identifies opportunities in modular hardware, platforms and software, predictive analytics, security, and developing vertical industry solutions.
Deep learning in automation industry
The field of DL has matured a lot in the last decade and changed a lot in the last few years. New architectures scaled to be larger/deeper, take advantage of a large number of datasets and parallel computing power.
Supervised DL methods, namely, CNNs and RNNs, are the natural choice for researchers in the automotive domain.
Important aspects such as compute power requirements, model transparency, and interpretability, model compliance with vehicle safety standards, all of which are expected to appreciably impact the adoption rate of DL in the automotive industry.
Research on object detection and recognition using machine learning algorithm...
This document discusses research on using machine learning and deep learning for object detection. It examines applications in autonomous vehicles, image detection for agriculture, and credit card fraud detection. For autonomous vehicles, deep learning is discussed for object identification and perception, though speed and real-world performance need improvement. Image detection for agriculture uses feature extraction and machine learning for automatic fruit identification. Credit card fraud detection uses ensemble methods like LightGBM, XGBoost and CatBoost on preprocessed transaction data to identify fraudulent transactions. The document evaluates different approaches and their challenges for these applications of object detection.
The Utilization of Robotics in Supply Chain Management and Its Various Applic...
The utilization of robotics in supply chain management is a complex and quickly evolving field. This study
investigated how robotics can be utilized to further develop efficiency, accuracy, and speed in supply chain
operations. The study found that robotics can possibly change supply chain tasks, like warehousing,
inventory management, request satisfaction, and logistics. The study likewise featured the ascent of
patterns like independent vehicles, mechanical sorting systems, and prescient investigation for demand
forecasting. The study reasoned that embracing mechanical innovations isn't just a need yet additionally a
chance for supply chains to turn out to be more dexterous and responsive.
Interview: What is the main security and privacy risks associated with the ad...
worldautomotiveconference.co.uk
"The methods of artificial intelligence and augmented reality have always been the substance of rumination and speculation since very recently, where they’ve started to take very a central role in our lives.
Intelligent technologies today are computer-aided systems that completely control all industrial pipelines. They can operate autonomously and on this account all processes can be managed independently.
Today’s logistics do not resemble one-way storage of goods seen up to a few years ago. This is due to new web technologies that allow an entirely new level of interaction within the moving parts of a given logistics eco-system. As these technologies continue developing at a rapid pace, several partially and fully automated logistic frameworks are already readying for deployment."
"When we compare Industry 4.0 advantages and classic ERP programs advantages We see below points ;
- Space-efficient storage. This will save in warehouse areas and volumes. Ex. Kardex Remstar applications, vertical storage solutions
- ERP’s are integrated warehouse management software.
So the error will be absolutely minimal. Prevention of losses due to lack of communication in monolithic systems that have one point of failure.
- Automatic and controlled product circulation. This will allow for increased work safety and fewer work accidents. This will naturally result in risk reduction resulting from controllability, especially in hazardous material logistics.
- Line feed, standby modules. So perfect stock management, “0” inventory loss.
- Automatic finished product warehouses. This will allow for unmanned warehouses, fast vehicle loading and unloading systems that can work 24 hours a day, 365 days a year. Cellular transfer storage systems.
For distribution centers and warehouse management systems that implement Industry 4.0 technologies, data needs to be collected, analyzed, acted on, and secured in order to partake in the data driven decision-making Industry 4.0 advertises."
Closing the gap in your cloud ecosystem capgemini mark skilton v1
The presentation discusses various gaps that exist between the current state of cloud computing technologies and ecosystems and their potential. It identifies gaps in areas such as standards, portability, integration, security and vertical industry adoption. It argues that closing these gaps will require continued evolution of standards to improve semantics, usability, and data portability across heterogeneous cloud solutions and systems.
Cloud Computing Role in Information technology
Simply put, cloud computing is the delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet (“the cloud”) to offer faster innovation, flexible resources, and economies of scale.
Information technology (IT) is part of the value chain and corporate strategy of companies (PORTER, 1998). This area has been highlighted by its rapid development being responsible for several technological innovations, which affect the strategic positioning of companies. In the 1970s the computing model based on both proprietary technology and high cost large computers, known as mainframes, contributed to the formation of oligopolies in companies providing IT services which provided data processing to consumer companies.
MODULE 1.pdf
The document discusses the concepts of the Internet of Things (IoT). It defines IoT as connecting physical objects to the internet to communicate data and interact. The basic goal of IoT is to connect unconnected objects to improve efficiency and automation. Some key points discussed include:
- The genesis of IoT starting in 2008-2009 with Kevin Ashton coining the term.
- Examples of IoT applications including connected roadways using sensors in vehicles, connected factories using real-time tracking of production, and smart connected buildings using sensors to optimize HVAC and lighting.
- Convergence of IT and OT bringing together operational technology networks that monitor physical systems with traditional IT networks and data systems.
Internet of things: Accelerate Innovation and Opportunity on top The 3rd Plat...
The document discusses the growth of technologies like the Internet of Things (IoT) and how they are driving major changes in business and society. It notes that by 2020, IoT technologies will represent the majority of ICT spending growth and will create $19 trillion in economic value over the next 10 years. The IoT is creating new opportunities for businesses to optimize operations, develop new revenue streams from data insights, and transform customer interactions. Key industries like retail, transportation and healthcare will be impacted as physical systems become connected and integrated with digital systems and data analytics. The rise of IoT requires organizations to rethink their strategies and ecosystems to capitalize on emerging opportunities.
IRJET- Autonomous Cars – Predicting Future Customers
This document provides an overview of autonomous vehicles and various machine learning and data science concepts relevant to predicting future customers of autonomous cars. It discusses the levels of vehicle automation, from fully manual to fully autonomous. It also describes data science, machine learning, commonly used Python libraries like Pandas, NumPy, Scikit-Learn and algorithms like regression and logistic regression. The document aims to build a machine learning model using historic customer data to predict which future customers will purchase autonomous vehicles.
A high-Speed Communication System is based on the Design of a Bi-NoC Router, ...
The Network on Chip (NoC) has emerged as an effective
solution for intercommunication infrastructure within System on
Chip (SoC) designs, overcoming the limitations of traditional
methods that face significant bottlenecks. However, the complexity
of NoC design presents numerous challenges related to
performance metrics such as scalability, latency, power
consumption, and signal integrity. This project addresses the
issues within the router's memory unit and proposes an enhanced
memory structure. To achieve efficient data transfer, FIFO buffers
are implemented in distributed RAM and virtual channels for
FPGA-based NoC. The project introduces advanced FIFO-based
memory units within the NoC router, assessing their performance
in a Bi-directional NoC (Bi-NoC) configuration. The primary
objective is to reduce the router's workload while enhancing the
FIFO internal structure. To further improve data transfer speed,
a Bi-NoC with a self-configurable intercommunication channel is
suggested. Simulation and synthesis results demonstrate
guaranteed throughput, predictable latency, and equitable
network access, showing significant improvement over previous
designs
Null Bangalore | Pentesters Approach to AWS IAM
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
More Related Content
Similar to Emerging Trends in Robotics and automation in 3pl industry
Top 9 Trends and Technologies Reshaping Supply Chain Management | The Enterpr...
Here are 9 major trends and technological developments for the future of supply chain management: 1. Supply Chain Agility 2. Artificial and Augmented Intelligence 3. Real-Time Supply Chain Visibility 4. Digital Twins 5. Blockchain 6. Data Standards and Advanced Analytics
A REVIEW ON IOT IN TRANSPORTATION SECTOR
This document provides a review of how Internet of Things (IoT) technology can be applied in the transportation sector. It discusses the opportunities that IoT presents to address complex issues in transportation systems. The key aspects covered include:
1. The architecture of an IoT system for transportation, which consists of 5 layers - application, sensing, communication, service, and infrastructure layers.
2. Examples of IoT applications in transportation like logistics, toll payment systems, vehicle tracking, supply chain management, and smart vehicle technologies.
3. The benefits of implementing IoT in transportation include optimized routes, demand-based services, improved public safety, and reduced fuel costs through efficiency.
How close are autonomous vehicles to consumers? - San Francisco Green Careers
In and around Silicon Valley we occasionally spot a driverless car, in particular the Google 'self-d...
Leveraging IoT Testing to manage Supply Chain Risks.pdf
IoT is a game-changing technology that has had a significant impact on sectors like retail, transportation, banking, healthcare, and energy. When it comes to supply chain management, the Internet of Things can be extremely handy. Applications for management, forecasting, and supervision assist fleet managers in increasing operational distribution efficiency and adding transparency to decision-making.
Transportation Technology Vision 2019
The transportation industry is entering a post-digital era where emerging technologies like artificial intelligence, extended reality, distributed ledgers, and quantum computing will transform operations and customer experiences. These technologies provide opportunities in first-mile/last-mile services, seamless convenience tailored to customer preferences, improved passenger safety and data security, and optimized asset management. To take advantage, companies must strategically choose opportunities, define their role in the new landscape, and prepare employees and systems for technological change.
IoT VISION FOR SMART PORTS
The document discusses the concept of a "smart port" and how Internet of Things (IoT) technologies can enable ports to become more efficient and optimized. It provides examples of ports that have implemented IoT solutions, such as the Port of Barcelona which uses sensors and networks to track vehicles and equipment, monitor air quality, and automate processes. The document also discusses how blockchain could be applied to port logistics for secure data sharing. Finally, it argues that smart ports should be considered within the context of the surrounding city and region, with all locations sharing and analyzing data through the IoT to improve operations across the "smart axis" of port, city and region.
Megatron blog.pdf
Operations and warehousing are necessary pieces of an organization's supply chain. This provides the basic foundation expected to move products from where they are delivered to end clients. Businesses like Durgapur Logistics Truck are quickly expanding because of advances in innovation and the general development of India and the worldwide economy.
What does the future hold? With the advances in innovation, planned operations, and warehousing, organizations may utilize many robotized frameworks to deal with their fleets. These mechanized frameworks can incorporate versatile dispatch and global positioning frameworks, continuous examination, and high-level arsenal enhancement calculations, to give some examples. Mechanizing the board cycle will permit directors to screen and control the armada all day, every day, and proactively address any issues rapidly, proficiently, and precisely. It additionally permits them to recognize potential chances to lessen working expenses and boost efficiency. Besides, vehicle following and correspondence innovation progressions will likewise work on armadas' well-being and security.
New advances like the Internet of Things (IoT) and computerized reasoning (artificial intelligence) are probably going to enter the market and assist it in working better. Supply chains will be robotized and streamlined, utilizing artificial intelligence-driven advancements. These advancements are once in a while joined with specific mediation for development in execution. The methodology for development joins in-vehicle innovation with coordinated online applications that persistently screen and rate boundaries like driving behavior, preventive support, complaint components, course content, and so on. Stocking, transporting, and different exercises also will be followed and observed through IoT-empowered sensors and gadgets.
Also, the planned operations and warehousing area are placing an increasingly greater emphasis on ecological obligation and manageability. Moving toward green schooling has become of great importance. Distribution centers are sending sunlight to nearby environmentally friendly power frameworks as well as gathering water for energy preservation. A few additional famous and ingenious strategies incorporate introducing warm-covered bubble sheets and highly sun-oriented intelligent file paint on the top of stockrooms to control temperature and safeguard the material from maturing and surface corruption. To satisfy the developing need for economical operations and warehousing, organizations are effectively putting resources into environmentally friendly power, energy-productive structures, and exhaustive preparation for their representatives on decreasing their carbon footprint.
Impacts of internet of things on supply chains
The document discusses a framework for implementing Internet of Things (IoT) technology in warehouse management. It proposes that IoT can provide real-time visibility of inventory, increase efficiency, and prevent shortages. The framework gives enterprises a roadmap to improve warehouses using IoT. Specifically, it connects physical objects through sensors, collects real-time data, and uses that data for automated decision making to better manage inventory levels and warehouse operations.
Review Smart Traffic Management System
The number of automobiles on the road will only increase due to the ever increasing population development in urban areas across the world and manufacturers ongoing manufacturing of all types of vehicles. This inevitably causes additional traffic congestion, which is exacerbated during rush hour and especially in big urban areas. Urban planners, local officials, and academics are continuously under pressure from this phenomenon to find methods to make traffic management systems safer and more cost effective. Numerous researches have been carried out to solve this ongoing issue, leading to some major advancements like specific lanes for emergency vehicles in metropolitan areas. Even with these lanes, it is sometimes challenging to meet the appropriate goal timeframes for emergency vehicles to arrive at their locations. Intelligent Transportation System is a fresh approach that aims to solve this problem ITS . By fusing present infrastructure with existing technologies, this approach can aid in problem solving. In this paper, three alternative traffic management techniques RFID, Internet of Things, and Traffic Light Systems TLS , which can be static or dynamic IoT . In the latter approach, traffic data are swiftly gathered and delivered to Big Data for analysis, while mobile applications, also known as User Interface UI , are used to evaluate traffic density in various places and offer alternate traffic relief suggestions. Bharti Kumari | Vinod Mahor "Review: Smart Traffic Management System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-5 , August 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50595.pdf Paper URL: https://www.ijtsrd.com/computer-science/other/50595/review-smart-traffic-management-system/bharti-kumari
IRJET- Traffic Prediction Techniques: Comprehensive analysis
This document provides a comprehensive literature review and analysis of various traffic prediction techniques. It begins with an abstract that outlines the need for accurate traffic forecasting to address issues caused by increased road traffic. The document then reviews several existing traffic prediction methods and technologies, including fuzzy logic-based systems, intelligent traffic signal controllers, dynamic traffic information systems, and frameworks that utilize IoT, cloud computing, and machine learning. It identifies gaps in current literature, such as a lack of sensor data and advanced application frameworks for prediction. Finally, the document presents several comparison tables analyzing traffic prediction techniques based on the datasets, parameters, merits and demerits of each approach. The overall purpose is to conduct a systematic analysis of past work and identify future research
СОЕДИНЕННЫЙ МИР
This document discusses the opportunities presented by the Internet of Things. It begins with an overview of what the IoT is and why it is exciting, noting the large potential value and growth in connected devices. It then reviews technology trends like increasing battery life, sensor usage, network coverage, and data analytics capabilities that are enabling the IoT. Examples are given of early IoT validations in areas like connected cars, fleet management, smart buildings, wearables, and item-level logistics visibility. The document outlines the complex IoT ecosystem involving hardware, connectivity, software infrastructure, analytics, and applications. It identifies opportunities in modular hardware, platforms and software, predictive analytics, security, and developing vertical industry solutions.
Deep learning in automation industry
The field of DL has matured a lot in the last decade and changed a lot in the last few years. New architectures scaled to be larger/deeper, take advantage of a large number of datasets and parallel computing power.
Supervised DL methods, namely, CNNs and RNNs, are the natural choice for researchers in the automotive domain.
Important aspects such as compute power requirements, model transparency, and interpretability, model compliance with vehicle safety standards, all of which are expected to appreciably impact the adoption rate of DL in the automotive industry.
Research on object detection and recognition using machine learning algorithm...
This document discusses research on using machine learning and deep learning for object detection. It examines applications in autonomous vehicles, image detection for agriculture, and credit card fraud detection. For autonomous vehicles, deep learning is discussed for object identification and perception, though speed and real-world performance need improvement. Image detection for agriculture uses feature extraction and machine learning for automatic fruit identification. Credit card fraud detection uses ensemble methods like LightGBM, XGBoost and CatBoost on preprocessed transaction data to identify fraudulent transactions. The document evaluates different approaches and their challenges for these applications of object detection.
The Utilization of Robotics in Supply Chain Management and Its Various Applic...
The utilization of robotics in supply chain management is a complex and quickly evolving field. This study
investigated how robotics can be utilized to further develop efficiency, accuracy, and speed in supply chain
operations. The study found that robotics can possibly change supply chain tasks, like warehousing,
inventory management, request satisfaction, and logistics. The study likewise featured the ascent of
patterns like independent vehicles, mechanical sorting systems, and prescient investigation for demand
forecasting. The study reasoned that embracing mechanical innovations isn't just a need yet additionally a
chance for supply chains to turn out to be more dexterous and responsive.
Interview: What is the main security and privacy risks associated with the ad...
worldautomotiveconference.co.uk
"The methods of artificial intelligence and augmented reality have always been the substance of rumination and speculation since very recently, where they’ve started to take very a central role in our lives.
Intelligent technologies today are computer-aided systems that completely control all industrial pipelines. They can operate autonomously and on this account all processes can be managed independently.
Today’s logistics do not resemble one-way storage of goods seen up to a few years ago. This is due to new web technologies that allow an entirely new level of interaction within the moving parts of a given logistics eco-system. As these technologies continue developing at a rapid pace, several partially and fully automated logistic frameworks are already readying for deployment."
"When we compare Industry 4.0 advantages and classic ERP programs advantages We see below points ;
- Space-efficient storage. This will save in warehouse areas and volumes. Ex. Kardex Remstar applications, vertical storage solutions
- ERP’s are integrated warehouse management software.
So the error will be absolutely minimal. Prevention of losses due to lack of communication in monolithic systems that have one point of failure.
- Automatic and controlled product circulation. This will allow for increased work safety and fewer work accidents. This will naturally result in risk reduction resulting from controllability, especially in hazardous material logistics.
- Line feed, standby modules. So perfect stock management, “0” inventory loss.
- Automatic finished product warehouses. This will allow for unmanned warehouses, fast vehicle loading and unloading systems that can work 24 hours a day, 365 days a year. Cellular transfer storage systems.
For distribution centers and warehouse management systems that implement Industry 4.0 technologies, data needs to be collected, analyzed, acted on, and secured in order to partake in the data driven decision-making Industry 4.0 advertises."
Closing the gap in your cloud ecosystem capgemini mark skilton v1
The presentation discusses various gaps that exist between the current state of cloud computing technologies and ecosystems and their potential. It identifies gaps in areas such as standards, portability, integration, security and vertical industry adoption. It argues that closing these gaps will require continued evolution of standards to improve semantics, usability, and data portability across heterogeneous cloud solutions and systems.
Cloud Computing Role in Information technology
Simply put, cloud computing is the delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet (“the cloud”) to offer faster innovation, flexible resources, and economies of scale.
Information technology (IT) is part of the value chain and corporate strategy of companies (PORTER, 1998). This area has been highlighted by its rapid development being responsible for several technological innovations, which affect the strategic positioning of companies. In the 1970s the computing model based on both proprietary technology and high cost large computers, known as mainframes, contributed to the formation of oligopolies in companies providing IT services which provided data processing to consumer companies.
MODULE 1.pdf
The document discusses the concepts of the Internet of Things (IoT). It defines IoT as connecting physical objects to the internet to communicate data and interact. The basic goal of IoT is to connect unconnected objects to improve efficiency and automation. Some key points discussed include:
- The genesis of IoT starting in 2008-2009 with Kevin Ashton coining the term.
- Examples of IoT applications including connected roadways using sensors in vehicles, connected factories using real-time tracking of production, and smart connected buildings using sensors to optimize HVAC and lighting.
- Convergence of IT and OT bringing together operational technology networks that monitor physical systems with traditional IT networks and data systems.
Internet of things: Accelerate Innovation and Opportunity on top The 3rd Plat...
The document discusses the growth of technologies like the Internet of Things (IoT) and how they are driving major changes in business and society. It notes that by 2020, IoT technologies will represent the majority of ICT spending growth and will create $19 trillion in economic value over the next 10 years. The IoT is creating new opportunities for businesses to optimize operations, develop new revenue streams from data insights, and transform customer interactions. Key industries like retail, transportation and healthcare will be impacted as physical systems become connected and integrated with digital systems and data analytics. The rise of IoT requires organizations to rethink their strategies and ecosystems to capitalize on emerging opportunities.
IRJET- Autonomous Cars – Predicting Future Customers
This document provides an overview of autonomous vehicles and various machine learning and data science concepts relevant to predicting future customers of autonomous cars. It discusses the levels of vehicle automation, from fully manual to fully autonomous. It also describes data science, machine learning, commonly used Python libraries like Pandas, NumPy, Scikit-Learn and algorithms like regression and logistic regression. The document aims to build a machine learning model using historic customer data to predict which future customers will purchase autonomous vehicles.
Similar to Emerging Trends in Robotics and automation in 3pl industry (20)
Top 9 Trends and Technologies Reshaping Supply Chain Management | The Enterpr...
Top 9 Trends and Technologies Reshaping Supply Chain Management | The Enterpr...
How close are autonomous vehicles to consumers? - San Francisco Green Careers
How close are autonomous vehicles to consumers? - San Francisco Green Careers
Leveraging IoT Testing to manage Supply Chain Risks.pdf
Leveraging IoT Testing to manage Supply Chain Risks.pdf
IRJET- Traffic Prediction Techniques: Comprehensive analysis
IRJET- Traffic Prediction Techniques: Comprehensive analysis
Research on object detection and recognition using machine learning algorithm...
Research on object detection and recognition using machine learning algorithm...
The Utilization of Robotics in Supply Chain Management and Its Various Applic...
The Utilization of Robotics in Supply Chain Management and Its Various Applic...
Interview: What is the main security and privacy risks associated with the ad...
Interview: What is the main security and privacy risks associated with the ad...
Closing the gap in your cloud ecosystem capgemini mark skilton v1
Closing the gap in your cloud ecosystem capgemini mark skilton v1
Internet of things: Accelerate Innovation and Opportunity on top The 3rd Plat...
Internet of things: Accelerate Innovation and Opportunity on top The 3rd Plat...
IRJET- Autonomous Cars – Predicting Future Customers
IRJET- Autonomous Cars – Predicting Future Customers
Recently uploaded
A high-Speed Communication System is based on the Design of a Bi-NoC Router, ...
The Network on Chip (NoC) has emerged as an effective
solution for intercommunication infrastructure within System on
Chip (SoC) designs, overcoming the limitations of traditional
methods that face significant bottlenecks. However, the complexity
of NoC design presents numerous challenges related to
performance metrics such as scalability, latency, power
consumption, and signal integrity. This project addresses the
issues within the router's memory unit and proposes an enhanced
memory structure. To achieve efficient data transfer, FIFO buffers
are implemented in distributed RAM and virtual channels for
FPGA-based NoC. The project introduces advanced FIFO-based
memory units within the NoC router, assessing their performance
in a Bi-directional NoC (Bi-NoC) configuration. The primary
objective is to reduce the router's workload while enhancing the
FIFO internal structure. To further improve data transfer speed,
a Bi-NoC with a self-configurable intercommunication channel is
suggested. Simulation and synthesis results demonstrate
guaranteed throughput, predictable latency, and equitable
network access, showing significant improvement over previous
designs
Null Bangalore | Pentesters Approach to AWS IAM
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
Determination of Equivalent Circuit parameters and performance characteristic...
Includes the testing of induction motor to draw the circle diagram of induction motor with step wise procedure and calculation for the same. Also explains the working and application of Induction generator
Applications of artificial Intelligence in Mechanical Engineering.pdf
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
Call Girls Chennai +91-8824825030 Vip Call Girls Chennai
Call Girls Chennai +91-8824825030 Vip Call Girls Chennai
Impartiality as per ISO /IEC 17025:2017 Standard
This document provides basic guidelines for imparitallity requirement of ISO 17025. It defines in detial how it is met and wiudhwdih jdhsjdhwudjwkdbjwkdddddddddddkkkkkkkkkkkkkkkkkkkkkkkwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwioiiiiiiiiiiiii uwwwwwwwwwwwwwwwwhe wiqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq gbbbbbbbbbbbbb owdjjjjjjjjjjjjjjjjjjjj widhi owqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq uwdhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhwqiiiiiiiiiiiiiiiiiiiiiiiiiiiiw0pooooojjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjj whhhhhhhhhhh wheeeeeeee wihieiiiiii wihe
e qqqqqqqqqqeuwiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiqw dddddddddd cccccccccccccccv s w c r
cdf cb bicbsad ishd d qwkbdwiur e wetwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwww w
dddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddfffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffw
uuuuhhhhhhhhhhhhhhhhhhhhhhhhe qiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiii iqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq eeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeee qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccc ccccccccccccccccccccccccccccccccccc bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbu uuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuum
m
m mmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmm m i
g i dijsd sjdnsjd ndjajsdnnsa adjdnawddddddddddddd uw
FULL STACK PROGRAMMING - Both Front End and Back End
This ppt gives details about Full Stack Programming and its basics.
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...Paris Salesforce Developer Group
Build the Next Generation of Apps with the Einstein 1 Platform.
Rejoignez Philippe Ozil pour une session de workshops qui vous guidera à travers les détails de la plateforme Einstein 1, l'importance des données pour la création d'applications d'intelligence artificielle et les différents outils et technologies que Salesforce propose pour vous apporter tous les bénéfices de l'IA.Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...
Energy efficiency has been important since the latter part of the last century. The main object of this survey is to determine the energy efficiency knowledge among consumers. Two separate districts in Bangladesh are selected to conduct the survey on households and showrooms about the energy and seller also. The survey uses the data to find some regression equations from which it is easy to predict energy efficiency knowledge. The data is analyzed and calculated based on five important criteria. The initial target was to find some factors that help predict a person's energy efficiency knowledge. From the survey, it is found that the energy efficiency awareness among the people of our country is very low. Relationships between household energy use behaviors are estimated using a unique dataset of about 40 households and 20 showrooms in Bangladesh's Chapainawabganj and Bagerhat districts. Knowledge of energy consumption and energy efficiency technology options is found to be associated with household use of energy conservation practices. Household characteristics also influence household energy use behavior. Younger household cohorts are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy saving for environmental reasons. Education also influences attitudes toward energy conservation in Bangladesh. Low-education households indicate they primarily save electricity for the environment while high-education households indicate they are motivated by environmental concerns.
Digital Twins Computer Networking Paper Presentation.pptx
A Digital Twin in computer networking is a virtual representation of a physical network, used to simulate, analyze, and optimize network performance and reliability. It leverages real-time data to enhance network management, predict issues, and improve decision-making processes.
This study Examines the Effectiveness of Talent Procurement through the Imple...
In the world with high technology and fast
forward mindset recruiters are walking/showing interest
towards E-Recruitment. Present most of the HRs of
many companies are choosing E-Recruitment as the best
choice for recruitment. E-Recruitment is being done
through many online platforms like Linkedin, Naukri,
Instagram , Facebook etc. Now with high technology E-
Recruitment has gone through next level by using
Artificial Intelligence too.
Key Words : Talent Management, Talent Acquisition , E-
Recruitment , Artificial Intelligence Introduction
Effectiveness of Talent Acquisition through E-
Recruitment in this topic we will discuss about 4important
and interlinked topics which are
Accident detection system project report.pdf
The Rapid growth of technology and infrastructure has made our lives easier. The
advent of technology has also increased the traffic hazards and the road accidents take place
frequently which causes huge loss of life and property because of the poor emergency facilities.
Many lives could have been saved if emergency service could get accident information and
reach in time. Our project will provide an optimum solution to this draw back. A piezo electric
sensor can be used as a crash or rollover detector of the vehicle during and after a crash. With
signals from a piezo electric sensor, a severe accident can be recognized. According to this
project when a vehicle meets with an accident immediately piezo electric sensor will detect the
signal or if a car rolls over. Then with the help of GSM module and GPS module, the location
will be sent to the emergency contact. Then after conforming the location necessary action will
be taken. If the person meets with a small accident or if there is no serious threat to anyone’s
life, then the alert message can be terminated by the driver by a switch provided in order to
avoid wasting the valuable time of the medical rescue team.
Recently uploaded (20)
A high-Speed Communication System is based on the Design of a Bi-NoC Router, ...
A high-Speed Communication System is based on the Design of a Bi-NoC Router, ...
Determination of Equivalent Circuit parameters and performance characteristic...
Determination of Equivalent Circuit parameters and performance characteristic...
Applications of artificial Intelligence in Mechanical Engineering.pdf
Applications of artificial Intelligence in Mechanical Engineering.pdf
1FIDIC-CONSTRUCTION-CONTRACT-2ND-ED-2017-RED-BOOK.pdf
1FIDIC-CONSTRUCTION-CONTRACT-2ND-ED-2017-RED-BOOK.pdf
SENTIMENT ANALYSIS ON PPT AND Project template_.pptx
SENTIMENT ANALYSIS ON PPT AND Project template_.pptx
Call Girls Chennai +91-8824825030 Vip Call Girls Chennai
Call Girls Chennai +91-8824825030 Vip Call Girls Chennai
FULL STACK PROGRAMMING - Both Front End and Back End
FULL STACK PROGRAMMING - Both Front End and Back End
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...
Digital Twins Computer Networking Paper Presentation.pptx
Digital Twins Computer Networking Paper Presentation.pptx
This study Examines the Effectiveness of Talent Procurement through the Imple...
This study Examines the Effectiveness of Talent Procurement through the Imple...
Emerging Trends in Robotics and automation in 3pl industry
- 1. EMERGING TRENDS IN AUTOMATION AND ROBOTICS FOR 3PL PRESENTED BY, . R.VIJAYADHARSHINI (III-EEE)
- 2. CONTENTS . Introduction . What is 3PL ? . Six trends in automation and robotics . Emerging trends in detail explanation . Conclusion
- 3. INTRODUCTION Third-party logistics (3PL) providers are constantly looking for ways to improve their efficiency, productivity, and customer satisfaction. Robotics and automation are two key drivers of innovation and transformation in the 3PL industry, as they offer numerous benefits such as reduced labor costs, increased accuracy, scalability, flexibility, and safety. In this article, we will explore some of the emerging trends and innovations in robotics and automation for 3PL applications, and how they are changing the landscape of logistics and supply chain management.
- 4. WHAT IS 3PL? ▪ A 3PL (third-party logistics) provider offers outsourced logistics services, which encompass anything that involves management of one or more facets of procurement and fulfillment activities. ▪ n business, 3PL has a broad meaning that applies to any service contract that involves storing or shipping items.
- 5. SIX EMERGING TRENDS IN AUTOMATION AND ROBOTICS The six emerging trends are, • Cobots and AGVs • AI and ML • Drones and UAVs • IoT and Blockchain • Cloud and Edge computing • AR and VR
- 7. • One of the most common and widely used forms of robotics and automation in 3PL is the use of collaborative robots (cobots) and automated guided vehicles (AGVs). • Cobots are robots that can work alongside humans, performing tasks such as picking, packing, sorting, loading, and unloading. • AGVs are vehicles that can move materials and goods autonomously within a warehouse or facility, following predefined routes or using sensors and navigation systems. • They can reduce human intervention, errors, and accidents, and optimize the use of space and resources.
- 8. AI AND ML
- 9. • Another emerging trend and innovation in robotics and automation for 3PL is the use of artificial intelligence (AI) and machine learning (ML). AI and ML are technologies that enable machines to learn from data and perform tasks that normally require human intelligence, such as decision making, planning, forecasting, and optimization. • For example, AI and ML can help robots to recognize objects, improve their vision and coordination, and optimize their movements and routes.
- 10. DRONES AND UAVs
- 11. • A third emerging trend and innovation in robotics and automation for 3PL is the use of drones and unmanned aerial vehicles (UAVs). Drones and UAVs are flying devices that can carry payloads and perform tasks such as delivery, inspection, surveillance, and mapping. • Drones and UAVs can also complement other forms of robotics and automation in 3PL, by providing aerial support, data collection, and communication
- 13. • A fourth emerging trend and innovation in robotics and automation for 3PL is the use of the Internet of Things (IoT) and blockchain. • IoT is a network of connected devices that can collect, transmit, and exchange data, enabling real-time visibility, tracking, and control of assets and processes. • Blockchain is a distributed ledger technology that can store and verify transactions, ensuring security, transparency, and traceability of data. • For example, IoT and blockchain can help robots to monitor inventory levels, environmental conditions, and quality standards, and verify the authenticity and origin of goods.
- 14. CLOUD AND EDGE COMPUTING
- 15. • A fifth emerging trend and innovation in robotics and automation for 3PL is the use of cloud and edge computing. • Cloud and edge computing can enhance the performance, scalability, and security of robotics and automation in 3PL, by enabling faster data processing, lower latency, higher bandwidth, and greater flexibility. • For example, cloud and edge computing can help robots to store, analyze, and share large amounts of data, and access advanced applications and services.
- 16. AR AND VR
- 17. • A sixth emerging trend and innovation in robotics and automation for 3PL is the use of augmented reality (AR) and virtual reality (V • AR and VR can improve the training, collaboration, and customer experience of robotics and automation in 3PL, by providing visual guidance, feedback, and support. • For example, AR and VR can help robots to learn new skills, interact with humans, and display information and instructions
- 18. CONCLUSION • While industrial automation and robotics are not the same thing, they often go hand-in-hand to improve productivity, quality and safety at low costs in a variety of industries. • Industrial automation and robotics looks set to continue growing and expanding into new regions, driving down the associated costs as new technologies emerge to provide smarter systems that can take data and react to environments in real time.