There’s a huge wave coming (that has already arrives in fact at several companies), known as Industry 4.0.
It generally refers to implementation of artificial intelligence, big data, Augemented Reality, and the industrial Internet of Things (IIoT) in factories. Although there is no formal, official definition, many consider the predecessors of Industry 4.0 to be industrial revolution using water and steam power (1.0); the use of electric power, motors, and basic closed-loop control in industry (2.0); and the addition of computing power to industrial processes and control (3.0).
Industry 4.0 brings three major attributes:
1. Reduces lost productivity and waste of time, materials, and product on factory floor
2. Enables adaptive manufacturing, with reprogramming of the process on fly
3. Upgrades basic sensors into smart sensors and allows reconfiguring of sensors for increased system robustness, including advanced diagnostics and the ability to anticipate problems.
There are several technologies working together in an Industry 4.0 environment like seen in this graphic.
While much of the IoT,Augmenter Reality and Big Data attention (and hype) has been focused on mass-market applications, the reality is that Industry 4.0-related opportunity is at least equal, and likely higher, in industrial situations.
The manufacturing transition to Industry 4.0 relies on enhanced, pervasive sensing, supported by numerous smaller, distributed controllers, and always-on connectivity.
We design and deploy Industry 4.0 solutions, integrating our extended expertise in AR/Wearables, along with IoT, BPM (Business Process Management), Big Data and System Integrations.
IGS has vast experience developing AR apps for industry with brands like Toyota, Ford, among others. Using Augmented Reality for industries, improvements can be made by making the technology more accessible to different operators whether they are at the training stage or working within the assembly process.
Augmented Reality apps have versatile options for implementation. they can be used to solve technical issues during the manufacturing stage, or they can enhance customer experience helping them further understand the finished product.
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