How Machine Vision Systems Make Businesses More Sustainable

Machine vision systems have been around for over 50 years, but recent developments in AI and technology are increasingly coming to the forefront as sustainability becomes a priority. Let’s look at some of the main advantages of using machine vision systems in businesses and how it improves sustainability.

 

What exactly is machine vision?

Machine vision systems rely on digital sensors embedded in industrial cameras with special optics to acquire images so that hardware and software can process, analyse and measure different features of a part for decision making.

Evolution of ERP systems

At its most basic level, a machine vision system is a computer that is able to perceive its surroundings using one or more video cameras and digital signal processing.

The objective is to solve real-world problems, but today’s vision systems can do much more, including enabling businesses to be more sustainable.

Here are five ways machine vision technology can directly or indirectly enhance all our lives:

 

1. Improving safety in the workplace

Machine vision systems can detect hazardous events such as gas leaks, fires, dangerous chemical spillages, etc. Cameras and sensors capture data over time, and AI is used to detect health and safety infringements in large workplaces that would not be possible for a human inspector to observe.

Improving workplace safety leads to greater productivity and reduced wastage, which can help achieve sustainability targets.

 

2. Saving energy

Machine vision systems used wisely can help businesses save money and resources by automating processes that would otherwise have to be done manually.

For example, machine vision systems can be deployed to monitor energy consumption and instructed to turn off machinery or equipment that is not in use.

 

3. Gain in-depth analysis of your business’s carbon emissions and overall environmental impact

Companies serious about reducing their carbon footprint increasingly use machine vision systems to provide detailed environmental impact assessments.

In addition, they provide valuable feedback regarding how much energy was used during production and the efficiency or otherwise of the systems in place.

 

4. Optimising recycling systems

Machine vision systems can help to simplify the often extremely complex process of recycling unwanted materials.

They can provide a more efficient and targeted way to sort waste products, saving time, human resources and money.

Ensuring as much recyclable material as possible is dispatched is a vital part of boosting corporate sustainability.

 

5. Reducing waste

Wastage is a massive problem for industry to overcome – not just food wastage, but packaging and energy. Machine vision system solutions are helping to resolve these pressing issues in a number of ways.

Detecting signs of contamination and spoilage on a food production line is one example, and calculating the most efficient way for a piece of wood to be cut is another- but there are many more innovations!

It’s clear that machine vision hardware and software have huge benefits, helping businesses improve efficiency and streamline operations.

Saving money, improving productivity and boosting sustainability create a win-win situation for everyone.

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