Machine Learning and AI in Food Plants: Where to Start

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Machine Learning and AI in Food Plants: Where to Start

So you want to incorporate artificial intelligence and machine learning into your food processing facility — but where do you start? These tools have grown increasingly popular, and you’ve likely heard people discussing different platforms like Amazon Web Services (AWS), Google Cloud and Microsoft Azure. But how do you get access to these tools and what can they do?

Three layers of cloud computing

When it comes to introducing machine learning to your processing, think of it as a three-tiered ecosystem:

1. Service providers (AWS, Google Cloud, Microsoft Azure)

2. IoT solutions partners (system integrators, data experts, etc.)

3. End users (Facility operator, plant owner, etc.)

 

Maximizing Drone Technology on Food Plant Construction Sites [VIDEO]

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Maximizing Drone Technology on Food Plant Construction Sites from Stellar on Vimeo.

Unmanned aerial vehicles (UAVs), commonly known as drones, are revolutionizing the way buildings are designed and constructed. Stellar leverages this technology on our job sites to make projects more efficient, accurate and cost-effective.

Here are some of the ways we utilize drones:

 

Get Started with Cloud-based Asset Management in Your Food Processing Plant

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Get Started with Cloud-based Asset Management in Your Food Processing Plant

You’ve likely heard a lot about Industry 4.0 and the impact of predictive and prescriptive maintenance on the food and beverage industry. It can sound overwhelming, but it doesn’t have to be. In fact, a few basic investments and the right partner can help streamline the way your facility operates and communicates

Food manufacturing facilities are complex and have various ecosystems operating at different levels, including:

  • Raw materials and receiving
  • Processing and KPIs
  • Monitoring (HMIs, PLCs and networks)
  • Inventory and work orders (ERP and PRM)
  • Packaging and distribution
  • Quality, process safety management (PSM) and safety

But all of these systems don’t always talk to each other. In many facilities, an equipment failure triggers a lengthy domino effect: Maintenance staff has to assess the problem, create a work order, check if a replacement part is available and so on.

Does this scenario sound familiar?