January 20, 2023

Technology has always played a crucial role in optimizing the daily procedures of businesses working in manufacturing or asset-intensive industries. In fact, industrial organizations have become increasingly dependent on automation and machine-based procedures.
As a result, technical assistance has become essential to ensuring reduced downtime, fewer breakdowns, and a decrease in safety hazards. In this sense, new digital solutions have transformed technical assistance to increase its efficiency. New forms of technical support allow operators to directly contact experts and promptly resolve issues and carry out maintenance tasks.
Modern production chains rely on a broad variety of machines to meet the demands of markets. As a result, these assets can have a decisive impact on productivity rates, revenue, and operational efficiency. In practical terms, businesses depend on technical assistance to ensure machinery is kept in good condition and breakdowns are quickly resolved. In addition, technical expertise can also help workers perform maintenance procedures, among others.
Unlike other technologies found on industrial sites, industrial machinery and equipment present a high degree of complexity. Any actions related to setting up, programming, resetting, or resolving issues often requires expert support. As result, it is common for experts/specialists to travel to different shop floors and factories to provide on-site assistance.
This is an unpractical process that can result in substantial traveling time (as experts may have to travel between continents). Moreover, long traveling times can lead to increased downtime, and significant costs, and hinder production for long periods. Other less urgent operations, such as machine setups, maintenance tasks, or training also represent substantial traveling costs for businesses.
In recent years, many businesses have tried to address assistance by introducing a new form of technical support, known as remote assistance. Regular remote assistance relies on conventional unspecialized mobile apps (e.g., WhatsApp, Facebook Messenger, or Facetime) to connect experts and operators.
Remote assistance rose to prominence due to the Covid-19 pandemic and as a result of travel restrictions. While regular video assistance provides substantial improvements over on-site or voice call-based assistance, they still lack the interactivity and necessary features to answer businesses’ needs. In essence, remote assistance is not a solution itself but rather an alternative.
Visual Remote Assistance combines the concept of regular video-based remote assistance with immersive technologies. In this sense, the biggest novelty introduced by visual remote assistance is the incorporation of augmented reality (AR). This technology helps increase interactivity and improve communication between frontline workers and experts.
By using a comprehensive EHSQ Connected Worker solution with Visual Remote Assistance functionalities, frontline workers can create a contact list to directly contact their centralized experts’ team. During calls, experts can add digital elements (such as AR markers) to identify specific locations and parts of machinery to better direct operators. In addition, it is also possible to zoom in on specific images and create 3D visual annotations.
Experts can also use an in-platform chat to share documents, images, videos, and other files to help workers conduct different actions.
After the call ends, users can download an automated session report, containing all messages, documents, images, videos, and screenshots shared during the call. These reports will help create a knowledge base to resolve future breakdowns, conduct maintenance, or train new workers. In turn, workers’ autonomy is reinforced, and the need for technical support is reduced.
Interested in learning more about Visual Remote Assistance and how it’s changing shop floors? Explore our website and blog or reach out to our team to schedule a demonstration to understand the full potential of Glartek’s EHSQ Connected Platform.
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