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Problem Statement
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Problem Statement
Edge computing has the power of creating a level playing field for small Tech developers enabling them to create products for markets where traditional big providers do not venture due to limited volumes. Hence we would like to see more and more local players come into this market and serve the needs of local communities, thereby opening up opportunities for them. There are already some government/private public partnerships in this area see this FCC report and XGain project from EU which fosters a sustainable, balanced, and inclusive development of rural, coastal and urban areas, by facilitating access of relevant stakeholders (such as municipalities, policymakers, farmers, foresters and their associations) to a comprehensive inventory of smart XG, last-mile connectivity and edge computing solutions, and of related assessment methods.
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1. Manufacturing Company
The system architecture for manufacturing company:
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The Butler project addresses the digitization challenges faced by small and medium-sized enterprises (SMEs) lacking resources for transformation. The goal is to create an accessible app that equips SMEs with tools to enhance operations and competitiveness in today's digital era.
Project Objectives
The Butler aims to provide SMEs with a comprehensive solution to:
1) Visualize Production Data: The Butler will offer user-friendly data visualization to help SMEs monitor and improve production processes efficiently.
2) Simplify Knowledge Access: The app will streamline access to operation manuals and guidelines, facilitating swift troubleshooting and minimizing downtime.
3) Navigate Standards and Regulations: The Butler will assist SMEs in understanding and adhering to industry standards and regulations, ensuring product quality and compliance.
4) Market Insights: The app will offer market research insights, enabling SMEs to make informed decisions and develop effective marketing strategies.
5) Employee Training and Testing: The Butler will provide training modules and testing features to enhance employee skills and knowledge.
//Pick one to work on...
Benefits for SMEs: The project offers SMEs numerous advantages:
1) Affordability: The Butler provides cost-effective digital solutions tailored to SMEs' budget constraints.
2) Ease of Use: The user-friendly interface ensures simple adoption and utilization of the app's features.
3)Efficiency: By centralizing resources, The Butler reduces time spent on information retrieval and training, boosting productivity.
4) Competitiveness: Access to insights, standards, and market data empowers SMEs to stay competitive and informed.
The Butler is a crucial step toward SME digital transformation. By providing tailored tools, the project empowers SMEs to embrace digitalization, improve efficiency, and succeed in a digital business landscape. This initiative envisions a future where SMEs can leverage digital solutions to foster growth and competitiveness.
Robotics
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Use Cases
Akraino SSES Robotics Blueprint
https://lf-akraino.atlassian.net/wiki/spaces/AK/pages/13669797/CPS+Robot+Blueprint+family
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for more info contact Haruhisa Fukano or Jeff Brower
Factory Floor, First Responders
SLM (small language model) for edge speech recognition, AI+Data Meeting @ ByteDance, Sep 2024
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2. Low-latency AI inference on Edge Cloud
Empower edge AI – Challenges at the Edge
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In summary, these two cases demonstrate the versatility and effectiveness of edge computing in managing IoT devices and providing real-time information to field personnel. By employing Shifu for dynamic message signs and YoMo for handheld devices, we create a comprehensive and responsive system that meets the specific needs of these real-world applications. This approach not only improves the efficiency and reliability of information dissemination but also enhances the overall operational capabilities of the police department.
For manufacturing, retail, and IoT use casecases:
Q1. What is the data that being generated?
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- Operational Data: Data generated from the daily operations of SMEs, such as inventory levels, sales transactions, and customer interactions.
- Edge Computing Data: Data processed at or close to where it is created to reduce costs, energy consumption, and address data privacy and security concerns. This encompasses all types of data mentioned above, processed locally rather than being sent to centralized data centers.
Q2: What is the data that needs to be serviced to the model creation process? Does the model need everything from Q1, or we can start from subset?
Moshe Shadmon please elaborate the question.
Option 1: Predictive Maintenance
Condition:
Option 2: Optimize production
Condition:
Q3: For the model execution, what data is needed?
Jeff Brower Haruhisa Fukano Feimin Yuan
Q4For model inference, what data is needed?
Jeff Brower Haruhisa Fukano Feimin Yuan
For manufacturing, retail, and IoT use cases, a variety of data may be needed, and required models may be multimodal. Some examples:
Video behavior recognition. Use case examples include factory floor, warehouse, and retail surveillance
Speech recognition. Use case examples include factory hands-free assembly line, factory floor and warehouse equipment (e.g. forklifts, cranes), first responders (e.g. automated vehicles)
IoT data gathered and communicated between edge nodes. Use case examples include environmental conditions, fire risk, structural integrity, water quality, waste water virus detection, and many others
Spectral measurements. Use case examples include RAN (smart radios)
Q3: Can the model be generated by FedML?
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