6 Entertainment Entertainment

[Entertainment1] Lack of high bandwidth in rural areas

Submitted by admin on Wed, 08/17/2022 - 15:23

Lack of high bandwidth in rural areas

[Entertainment2] Lack of personalised gaming experience

Submitted by admin on Wed, 08/17/2022 - 17:27

Lack of personalised gaming experience

5G for Entertainment

Step into the Future of Fun

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5G for Energy

Pain points in the Entertainment industry

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Pain Point 1

Lack of high bandwidth in rural areas

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Pain Point 2

Lack of personalised gaming experience

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Pain Point 3

Lack of interactive experience in sporting events

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Pain Point 4

Absence of automated real-time censorship in live broadcasting

Explore Solutions
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How 5G-enabled digital solutions can help

Introduction of Fixed Wireless Access (FWA) as an alternative to fibre to provide fast internet connectivity.


Data flow

Step 1: Devices

Step 1: Devices More Information
  • End devices such as mobile devices, tablets, gaming consoles
  • Connect to 5G through SIM card in the device or through a FWA router

Step 2: Connectivity

Step 2: Connectivity More Information
  • 5G will provide high-bandwidth, low-latency connection

Step 3: Edge Compute

Step 3: Edge Compute More Information
  • Utilisation of edge computing in cases such as real-time gaming with distributed content and AI intelligence

Step 4: Cloud Compute & Storage

Step 4: Cloud Compute & Storage More Information
  • All content stored in Enterprise storage

Step 5: Applications & Services

Step 5: Applications & Services More Information
  • Streaming services such as on-demand entertainment or gaming services

Step 6: Inform Decision Makers

Step 6: Inform Decision Makers More Information
  • Connections through wireless access deliver high speed requirements to suburban and rural areas, providing news, and entertaining and interactive services (e.g. games)

Step 7: Support Decision Making

Step 7: Support Decision Making More Information
  • End of process

Application logic

Scenario 1


  • Games (applications) will be required to support XR preferably via OpenXR framework.
  • Using sensors, collect behavioural information of gamers.
  • 5G enables devices to be connected with high speed and low latency wirelessly.

Scenario 2


  • High speeds and low latency from 5G enable uninterrupted streaming of high-quality video and real-time interactive services (e.g. games).
  • The access to high-speed internet opens other possibilities such as smart home functionalities, home video surveillance, and immersive learning access.

Scenario 3


  • Closing the gap of the digital divide in rural areas with high-speed broadband access.
  • Entertainment, interactive services, news and information can be accessed in rural areas.
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Expected benefits

  • High speed broadband access as an alternative to fibre for entertainment, gaming, and news in rural areas

Note: 

iconAI – Artificial Intelligence

iconML – Machine Learning

iconMV – Machine Vision​

iconSME – Subject Matter Expert

iconP&ID - Piping and Instruments Diagram

iconGHG - Greenhouse Gas

iconIT - Information Technology

iconOPAF - Open Process Automation Forum

iconOT - Operational Technology

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Key value created

  • Increased entertainment services reach to rural areas

Phone number:

0123456789

Potential

COGNITE
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How 5G-enabled digital solutions can help

5G-enabled AR/VR applications providing immersive customer experiences through real-time interaction.


Data flow

Step 1: Devices

Step 1: Devices More Information
  • XR devices supporting delivery of AR and VR
  • Other sensors can be used to collect data (e.g. video cameras and other ‘’feeler’’ type of sensors)

Step 2: Connectivity

Step 2: Connectivity More Information
  • (5G) High speed and low latency are required as most data will be time-critical

Step 3: Edge Compute

Step 3: Edge Compute More Information
  • Store data on edge as most interactions will be time critical for gaming (including personalised) settings

Step 4: Cloud Compute & Storage

Step 4: Cloud Compute & Storage More Information
  • All settings data to be stored in personal storage

Step 5: Applications & Services

Step 5: Applications & Services More Information
  • Collect data such as:
  • Play frequency
  • Gaming performance
  • Preferences, e.g. roles
  • Create historical profile to be used as AI input

Step 6: Inform Decision Makers

Step 6: Inform Decision Makers More Information
  • Standardised reports

Step 7: Support Decision Making

Step 7: Support Decision Making More Information
  • End of process

Application logic

Scenario 1


  • Games (applications) will be required to support XR preferably via OpenXR framework.
  • Collect, using sensors, behavioural information of gamers.
  • 5G enables devices to be connected with high speed and low latency wirelessly.

Scenario 2


  • Collect real-time data, stored in the edge for AI analysis.
  • Game settings will be influenced in real-time.

Scenario 3


  • Applications/AI Models can be developed to provide insights to professional games, e.g personal tendencies, choices, length of play to improve gaming performance.
  • AI models could also be developed for health factors, e.g. posture during gaming, behaviours signalling fatigue and need for a break, etc.
  • Gamers could leverage AI to provide guidance/assistance for decisions in a game.
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Expected benefits

  • Immersive experience for enhanced gaming
  • Healthy gaming for better wellbeing

Note: 

iconAI – Artificial Intelligence

iconML – Machine Learning

iconMV – Machine Vision​

iconSME – Subject Matter Expert

iconP&ID - Piping and Instruments Diagram

iconGHG - Greenhouse Gas

iconIT - Information Technology

iconOPAF - Open Process Automation Forum

iconOT - Operational Technology

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Key value created

  • Real-time personalised gaming

Phone number:

0123456789

Potential

COGNITE
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How 5G-enabled digital solutions can help

Real-time remote processing of data using AI/ML for AR/VR-based applications, providing users an end-to-end immersive experience.


Data flow

Step 1: Devices

Step 1: Devices More Information
  • Sensors/cameras to collect time series data on player performance and match statistics
  • Mobile phone or headsets for viewing with sensor input as well

Step 2: Connectivity

Step 2: Connectivity More Information
  • Various data types to be sent to Edge since AI, etc. will be time-critical

Step 3: Edge Compute

Step 3: Edge Compute More Information
  • Apply AI/MV to analyse player performance real-time based on images and sensor data collected

Step 4: Cloud Compute & Storage

Step 4: Cloud Compute & Storage More Information
  • All edge data collected from the sensors are stored in the enterprise storage to train AI algorithms

Step 5: Applications & Services

Step 5: Applications & Services More Information
  • AI algorithms would perform long-term analysis on matches and player performance
  • Display different scenarios

Step 6: Inform Decision Makers

Step 6: Inform Decision Makers More Information
  • Real-time player statistics for immersive viewing

Step 7: Support Decision Making

Step 7: Support Decision Making More Information
  • End of process

Application logic

Scenario 1


  • Collecting sensor data on players in real-time using motion, imagery-based sensors, etc., to track player movement.
  • Collect environmental data as well.

Scenario 2


  • AI/MV is used to analyse and predict key player performance metrics such as total distance covered by individual player, etc.
  • SMEs and data scientists will work together to develop and refine these models; Assume that initially these MV/ML models will change very frequently and therefore will be highly interactive.

Scenario 3


  • Based on the results from the AI model, users would be able to view real-time stats on selected player performance during parts of the match through an interactive augmented overlay within their mobile phone application.
  • Data collected can also be used by teams to improve player performance.
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Expected benefits

  • Games will be more attractive and therefore lead to increased (financial) benefits

Note: 

iconAI – Artificial Intelligence

iconML – Machine Learning

iconMV – Machine Vision​

iconSME – Subject Matter Expert

iconP&ID - Piping and Instruments Diagram

iconGHG - Greenhouse Gas

iconIT - Information Technology

iconOPAF - Open Process Automation Forum

iconOT - Operational Technology

icon

Key value created

  • Improved and personalised sporting match experience

Phone number:

0123456789

Potential

COGNITE
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How 5G-enabled digital solutions can help

5G will provide high-definition streaming of video with AI/MV for real-time censorship and automated image processing for live broadcasting.


Data flow

Step 1: Devices

Step 1: Devices More Information
  • Drones/mobile/smart glasses devices to collect on-ground imagery data of unfolding incidents

Step 2: Connectivity

Step 2: Connectivity More Information
  • All devices will transmit data to Enterprise storage
  • Critical activities to happen on edge

Step 3: Edge Compute

Step 3: Edge Compute More Information
  • All critical activities: (5G) AI – MV to be executed here
  • Real-time interventions

Step 4: Cloud Compute & Storage

Step 4: Cloud Compute & Storage More Information
  • All edge data collected will be stored to train AI algorithms
  • All data is stored at Enterprise storage

Step 5: Applications & Services

Step 5: Applications & Services More Information
  • AI (MV) to screen through images for issues and provide recommendation for broadcasting approval
  • Model requires refinement over time

Step 6: Inform Decision Makers

Step 6: Inform Decision Makers
More Information
  • Real-time alerts to provide enhanced visibility and quality control of content broadcasted

Step 7: Support Decision Making

Step 7: Support Decision Making More Information
  • End of process

Application logic

Scenario 1


  • Collecting data in real-time using imagery sensors on drones/smart glasses/mobile devices (user-generated) to track unfolding on-ground incidents.
  • 5G would enable devices to stream data seamlessly through its high-bandwidth, low-latency capabilities.

Scenario 2


  • AI/MV is used to screen through images and videos for potential broadcasting violations and quality issues.
  • Identified issues will be reported to the relevant personnel and upon approval, the AI/MV model will automatically implement the required changes.

Scenario 3


  • Based on the results of the AI/MV model, images and videos would be readily broadcasted to the network audience in real-time.
  • AI/ML model can be enhanced to include new features to improve the quality of images/videos broadcasted in real-time.
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Expected benefits

  • Improved quality of content (images/videos) broadcasted
  • Reduced turnaround time between incident reporting to broadcasting, improving network competitiveness

Note: 

iconAI – Artificial Intelligence

iconML – Machine Learning

iconMV – Machine Vision​

iconSME – Subject Matter Expert

iconP&ID - Piping and Instruments Diagram

iconGHG - Greenhouse Gas

iconIT - Information Technology

iconOPAF - Open Process Automation Forum

iconOT - Operational Technology

icon

Key value created

  • Improved reporting turnaround time, leading to enhanced competitiveness

Phone number:

0123456789

Potential

COGNITE

Cross-industry solutions

Autonomous robots and aerial drones can traverse harsh and dangerous environments and reduce hazard risks for human workers. Such technology will provide enhanced monitoring and safety upkeep for facilities. They can be fitted with various sensors geared towards the purpose they are meant for and by using 5G, we can deploy them in real-time whereby the data collected can be sent directly to an AI application for investigation and immediate further action.

Wearable technology allows security and medical personnel to conduct background and health checks efficiently. Of course, they have a much broader focus and can be used in many different industries where clothing has been enriched with wearable technologies. Wearables are also able to collect extra information for a 5G-enabled digital service.

Sensors are crucial for capturing real-time data and insights and pave the way for more informed decision-making. Sensors will be the data collection point for every 5G-enabled digital service and therefore will have to cover a broad spectrum of types of information to be collected and the way they are connected to the DNB 5G network.

XR is set to take work and play to the next level with cutting edge technology never seen before. These devices have the potential to boost productivity and enhance entertainment, changing the way we experience our reality through digital transformation. There is an increasing broad spectrum of devices available for both consumer and enterprise markets, making it increasingly important for each user experience.

DNB Ecosystem

Disclaimer of Endorsement

All information provided on potential 5G-enabled solutions and potential vendors is provided for information purposes only and based on our awareness of the available 5G-enabled solutions and potential vendors in the market. It does not constitute endorsement, recommendation or favouring by DNB. It is your responsibility to verify and evaluate such 5G-enabled solutions and potential vendors. DNB is not an agent or legal representative of any of such 5G-enabled solutions and potential vendors, is not associated or endorsed by such potential vendors, has no authority to act on behalf of any such potential vendors, and will be an independent party if you enter a business relationship with such potential vendors. Third party links included are for convenience only and are not under DNB’s control. DNB does not assume any responsibility or liability for your use of such third-party links.

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