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  • Writer's pictureInfo Seeteria

Edge Computing vs. Cloud Computing: A Technological Synergy for Enhanced Safety

Updated: Dec 27, 2023

What is Edge Computing? Edge computing refers to data processing that takes place near the data source, like a camera or sensor, rather than in a centralized data center. This approach ensures real-time analysis and rapid response times, crucial for immediate decision-making.

What is Cloud Computing? Cloud computing, on the other hand, involves processing data in centralized cloud data centers anywhere in the world. It offers vast storage capabilities and powerful computational resources, ideal for tasks requiring extensive processing, like algorithm training.

Main Differences: The primary distinction between the two lies in where data processing occurs. While Edge Computing prioritizes immediacy by processing data closer to its source, Cloud Computing leverages centralized servers for in-depth computations.

When Seeteria integrates with existing camera systems in industrial and logistic facilities, we use Edge Computing to immediately interpret visual data from facility video cameras to detect workers and forklifts activities, providing on-the-spot predictive safety insights. The cloud still plays a vital role in our solution. We utilize cloud computing primarily for the training of our algorithms, harnessing its computational might to refine our forklift safety models.

With Seeteria, you get the most out of both worlds: the immediacy of edge computing and the robust training infrastructure of the cloud. As we delve deeper into the AI realm, this combination proves invaluable in pushing the boundaries of forklift workplace safety."

Contact us to get a free analysis of your facility vehicle material handling safety

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