Focus on First Open Call winners: Demonstrating the Synergy of EDGE and Cloud Computing in AI-Driven Manufacturing Solutions – SWARM Didactic Case

WHAT ABOUT THE EXPERIMENT? 
 

The SWARM-DC experiment, titled "Demonstrating the Synergy of EDGE and Cloud Computing in AI-Driven Manufacturing Solutions – SWARM Didactic Case," is focused on enhancing digital transformation in manufacturing SMEs by integrating artificial intelligence (AI) with edge and cloud computing. Located in the Auvergne-Rhône-Alpes region of France, this experiment leverages local technological ecosystems and infrastructure to pilot and showcase digital advancements.

 

1. Main Objectives

Enhancing Digital Transformation: The primary objective is to facilitate digital transformation for SMEs by providing concrete examples of AI integration in industrial environments. This includes demonstrating the combined use of edge and cloud computing for optimal performance, security, and scalability.

 

Educational and Demonstrative Goals: The experiment aims to serve as an educational platform (Didactic Factory), providing training and practical demonstrations to upskill operational teams and industrial companies. This "test before invest" approach allows companies to evaluate AI solutions before large-scale implementation.

 

2. Technical Aspects

Edge and Cloud Computing: By leveraging both edge and cloud computing, the experiment aims to optimize AI applications for real-time data processing and extensive data analysis. Edge computing handles immediate data processing on-site, reducing latency, while cloud computing offers scalable resources for more complex tasks.

 

Data Security: A critical focus on data security ensures the integrity and confidentiality of manufacturing data across both edge and cloud platforms.

 

IoT Integration: The use of IoT devices and sensors facilitates seamless data collection and transmission, enabling comprehensive AI applications in predictive maintenance, quality control, and intelligent logistics.

 

3. Implementation and Infrastructure

The SWARM experiment revolves around a central machine called MGA, incorporating robotics (6-axis and 2-axis) and intelligent logistics. Data collected via IoT devices and sensors are processed either locally (EDGE computing) or sent to the cloud, enabling a hybrid approach for AI model deployment.

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WHAT IS THE EXPECTED IMPACT?  
 

Technological Impact: Improvement in operational efficiency, predictive maintenance, and quality control through advanced AI applications.

Economic Impact: Reduction in operational costs and enhanced productivity.

Commercial Impact: Increased competitiveness and the ability to offer new digital services.

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