AI and Digital Signage

Artificial Intelligence (AI) uses machine learning with computer vision technologies to create algorithms from data analysis. A strong use case is made for using AI in manufacturing to automate digital signage system content delivery. Businesses use AI and digital signage to present dynamic content in real-time. Using digital signage AI, companies can communicate with deskless employees on the shop floor, the plant, and the warehouse.

A "smart factory" uses the Internet of Things (IoT) connectivity and computer visualization systems to collect real-time data by monitoring process systems. Integrating AI with digital signage helps inform the company's deskless workers of relevant topics. This is accomplished by generating content from data-driven communication tools that collect real-time information, subject it to automated analysis, and display the results on digital signage throughout the workplace.

Digital Signage AI may present automated data visualization and analytics to achieve these objectives:

• To inform workers, managers, senior executives, and other stakeholders about productivity and key performance indicators (KPIs).
• To alert production managers and floor workers about safety issues when the system detects them.
• To encourage technicians and engineers to stay on top of problems and critical issues with insights about areas to improve.

Relevant Content Delivered to All Workers

AI-driven digital signage presents relevant content. The message is accessible and conveyed using text, graphics, audio, and video that is easy to understand. Critical business information is displayed on digital signage screens as a real-time visual representation. All workers have access to this critical information, not just those who work at a desk.

Workers usually become more interested in content that has high relevance for them. Using AI-driven communication systems makes the content displayed on the digital signage more relevant, considering what the viewer needs to know and when they need to know it. These systems customize the content and display messages on the digital signage accordingly.

The information displayed on the digital signage may include compliance data, new products, skills training, job benefits, best practices, and other things that enhance the employee experience to help create and retain better workers.

Process Analysis and Defect Detection Using AI with Alert Display on Digital Signage

Using computer vision to capture images of operations and processes, then applying automated analytics to determine if any anomalies occur is a highly useful way to improve productivity. These fast-response systems can prevent downtime in a manufacturing setting. An example is defect detection, which triggers an alert. These alerts may appear on the digital signage to notify the appropriate workers and be sent to the correct responders tasked with handling such problems.

Predictive Analytics

AI data analysis of historical data is useful in predicting future trends. Businesses may want to analyze collected data to increase their understanding with insights and then display content on digital signage that makes sense. For example, suppose a piece of equipment makes a detectable vibration or sound that is usually the precursor to a maintenance issue. The digital signage AI can detect the problem and display the information necessary to generate an action step to remedy the situation before a more serious problem occurs.

With enabled AI technology and digital signage, facial recognition, gesture recognition, and dynamic content are now possible.

Utilizing Facial Recognition

Facial recognition can identify workers and match them with their organizational profile. Content displays on the digital signage may be programmed to change depending on who the viewer is and their responsibilities within the organization. For example, a walk-by site inspection conducted by a C-level executive may trigger unique content displayed on the digital signage when this person passes by an information point. A warehouse worker passing the same point may see completely different information displayed.

Enabling Gesture Recognition

Gesture recognition allows the viewer to have some interactive control over the AI-driven digital signage by using hand gestures. This touchless system may be more convenient for the user and also improve sanitation in situations where it is desirable.

Using Dynamic Content

Dynamic content generation for digital signage applications is extremely powerful. The content is created automatically, on demand, and delivered in real-time. Content can come from both data analysis and in response to employee behavior.

Applications of Digital Signage AI

Here are a few examples of how digital signage AI is used:

• Better On-the-Job Safety: Digital signage AI helps improve worker safety by informing employees about specific hazards, how to avoid problems, and the days since the last work-related accident.
• Increased Output: Digital signage AI may display important information about schedules and deadlines. The system may show incentives for on-time job completion.
• Key Performance Indicators: Digital signage AI can display key performance indicators (KPIs) to inform workers how well the company or a production line is doing. Additionally, AI can discover new KPIs, that are insights that show patterns of importance that human operators may not have identified.
• Production Line Management: AI analytics can help optimize the production line and inform the workers of goals and achievements. AI can help manufacturers manage the parts and raw materials needed for the production line in real-time.
• Malfunctions or Potential Delays: The AI monitors for any indication of a malfunction or a potential delay and may predict future performance challenges. AI-based predictive analysis displayed on digital signage proactively ensures potential problems are avoided or resolved quickly. This system creates more efficient resource utilization.
• Alerts: Managers and C-level executives can set KPIs and get notified when they are not being met or when an outlier data point is triggered that requires immediate action. Workers who see the data analytics displayed in real-time get notified when alerts are triggered. This notification helps them identify problems that may cause a bottleneck. They get a chance to remedy the situation to help avoid unnecessary delays.
• Historical Data Comparison: When there is a historical database to work with, the information can help create benchmarks and baselines for production KPIs. Comparing output with the same period from a previous time and displaying the comparison results may provide interesting insights into process improvements and help troubleshoot new problems as they arise.
• Motivational Transparency: Production line workers may feel that they do not know what is happening and do not know about the "big picture" of a company's operations. Digital signage AI can improve this and create a feeling of group engagement by using some transparency of operational data.

Digital signage is undergoing a massive change to incorporate the power of AI. Digital signage AI allows a customized and relevant experience for workers that is useful in job activities and more engaging. Businesses benefit by automating content delivery to the digital signage AI system based on robust and automated data analysis. AI and digital signage help companies optimize strategic efforts for improved production efficiency.