From advertisements and events to pharmaceutical and biotechnology companies, almost every industry uses holograms for advanced imaging and visual displays.
Holograms help companies:
Create immersive educational experiences for students by displaying concepts like human anatomy in 3D
Stop counterfeit products by making it hard for companies to replicate labels
Diagnose medical illnesses better through precise imaging of organs and plan complex surgeries with holographic models
Attract customer attention and engage them with immersive content and appealing visuals
According to Zion Market Research, the global holograms market size will grow at a CAGR of 14.95% between 2025 and 2034.
Fast-growing as it might be, hologram manufacturing comes with challenges. These range from poor material quality to a lack of skilled workers with deep expertise in optics and manufacturing, and safety issues arising from exposure to lasers and chemicals.
But the most challenging part of hologram manufacturing is this extreme pressure to maintain high precision. Workers must be careful when capturing wave information or recording the microscopic interference pattern caused by laser light to avoid distortions and damage. They are expected to pay undivided, laser-sharp attention to their job.
However, humans are social animals. So, a quick chit-chat between workers near the machine might seem harmless.
But that slight oversight or error could lead to significant repercussions, such as:
High risk of counterfeiting, as perpetrators can easily replicate labels.
A wrong medical diagnosis may occur if visual distortions occur during hologram manufacturing, leading to blurred or distorted images.
Low-quality or damaged hologram images due to a slight shift in light waves.
While imposing strict rules might seem like an obvious solution, companies can address this issue smartly with Vision AI.
Let’s find out more.
How Vision AI Can Make Workforce Monitoring Smarter?
Vision AI analyzes the images and videos captured by high-resolution cameras and leverages AI to interpret visual data and make decisions. Industries typically use them to automate visual inspection and maintain product quality.
In hologram factories, companies can use Vision AI to:
Automate Inspection
Given the high precision required in hologram production, companies can use vision AI to detect flaws that the human eye often misses. Companies can automate the inspection process by gathering high-resolution images of the holograms, comparing them with high-quality holograms, and removing the ones that are blurred, pixelated, or distorted. This will enable companies to maintain consistency in hologram quality.
Safeguard workers by monitoring movements
Workers in hologram factories are often exposed to chemicals, lasers, and radiation. Additionally, unsafe practices like carrying phones on the factory floor or entering hazardous zones could increase safety risks. Supervisors cannot always manually monitor vast areas and track all workers simultaneously. That’s where Vision AI helps. With Vision AI, supervisors can monitor workers’ behavior in real time and alert them as soon as they exhibit deviant behavior. This will help factories reduce safety incidents and disruptions.
Increasing productivity by monitoring idle time
Sometimes, casual chit-chat near the machinery can lead to disastrous outcomes, such as the release of counterfeit labels or incorrect diagnoses due to blurry images. A high-precision task, such as hologram manufacturing, demands dedicated attention from team members. While monitoring workers is essential, it must also not seem strict or intrusive. With Vision AI, supervisors can gain real-time visibility into workers’ engagement, non-compliance, idle zones, and worker slowdowns. Supervisors can capture these images and send them to deviant workers, along with timestamps, to alert them and maintain productivity.
Conclusion
Micro-inefficiencies, like workforce idling, rarely appear in dashboards, and even if they do, it’s too late to take action.
In a field like hologram manufacturing, where a single error or oversight could be detrimental to the business, companies need a robust solution to monitor the workforce effectively.
That’s where solutions like Vision AI come into play. With Vision AI, supervisors can track workers’ movements and activities, spot idle zones and non-compliance, and alert the workers to avoid impacting delivery.
At AegisVision, we understand the value of worker productivity and alertness. That’s why we embed our Vision AI solution directly into the manufacturer’s product lines to make visual inspection and quality control effortless and meet customers’ quality expectations. From setting quality standards to detecting anomalies, we help companies transform their operations.
Our solution is specifically designed to help companies manage their most mission-critical operations with efficiency and actionable insights.
Planning to implement Vision AI in manufacturing processes? Contact us for more information.
FAQs
Q. What challenges do hologram factories face?
Hologram factories face challenges, such as poor-quality raw materials, a shortage of skilled workers capable of manufacturing high-precision holograms, and the risk of exposure to lasers and chemicals.
Q. Why is workforce monitoring necessary in hologram factories?
Hologram manufacturing requires precision and laser-sharp focus. Idling near the machinery or chit-chatting could result in poor-quality holograms and dangerous outcomes, such as counterfeit labels and incorrect diagnoses.
Q. How does vision AI help hologram factories monitor the workforce?
Vision AI can help supervisors identify idle and non-compliant zones and alert the workers to focus on production.