AI is transforming every aspect of our lives, so much so that Hollywood writers and actors are on strike over fears of an AI-dominated future. AL, however, is good news for digital out-of-home advertising (DOOH). It is now affordable for small businesses. They can use data-driven location intelligence for digital sign boards to reach potential customers and explore opportunities in new territories. Programmatic, location-based advertising is far more efficient than regular digital marketing. So how do you harness the power of AI to its full potential for DOOH?
The growing use of AI across various industries
The AI Software market could reach trillion dollars by 2030, according to current analysis. That’s no small statistic. Artificial Intelligence is the top emerging technology, dominating the discourse of late. With sizable implications for our society and applications across industries, AI has the power to reshape every industry, from the global economy to national security.
AI is playing a significant role in the DOOH advertising industry, revolutionizing how advertisements are displayed, targeted, and analyzed. It enhances the efficiency, targeting capabilities, and measurement of advertising campaigns. It allows advertisers to deliver more relevant and personalized content, optimize ad placements and bidding strategies, and gain deeper insights into campaign performance. Overall, it enhances the user experience, increasing customer engagement.
Types of AI tech used in digital sign boards
Computer Vision – it is a key AI technology used in digital signboards. It enables the recognition and analysis of visual data from cameras or sensors. Computer vision algorithms can detect and track objects, recognize faces, analyze audience demographics, and interpret emotions. This technology allows signboards to personalize content based on the characteristics and behaviors of the viewers.
Natural Language Processing (NLP) – these algorithms process and understand human language in digital signboards. They can analyze and interpret text, enabling signboards to display dynamic and contextually relevant messages. NLP also enables voice recognition and voice-activated interactions, allowing users to interact with signboards through spoken commands or queries.
Machine Learning – these algorithms are employed in digital signboards to analyze data, detect patterns, and make predictions. These algorithms can learn from historical data to understand user preferences, optimize content delivery, and make real-time recommendations. Machine learning can personalize content based on user behavior, location, and other relevant factors.
Gesture Recognition – it uses AI to interpret and respond to human gestures. Digital signboards equipped with cameras and computer vision algorithms can detect and analyze hand movements, allowing users to interact with the signboard through gestures. This technology enables contactless interactions, enhancing user engagement and interactivity.
Deep Learning – a subset of machine learning, Deep Learning utilizes artificial neural networks to process and analyze complex data. Deep learning algorithms are used in digital signboards for tasks such as, image recognition, video analysis, and content generation. These algorithms can extract meaningful insights from visual data and create visually appealing and engaging content.
Sentiment Analysis – this AI algorithm analyzes and interprets the emotions and sentiment expressed in text, voice, or visual data. Signboards equipped with sentiment analysis capabilities can gauge the mood or sentiment of the viewers and adjust the displayed content accordingly. This technology helps deliver content that aligns with the emotions of the audience.
Recommendation Systems – powered by AI, they provide personalized content suggestions. These systems analyze user preferences, behaviors, and contextual information to recommend relevant and targeted content. By understanding the interests and needs of viewers, signboards can deliver more engaging and tailored content.
How does AI improve the functionality of Digital Signboards?
Be it a retail store, hospital, or learning facility, AI-enabled LED signs improve the overall user experience. They can keep customers engaged, collect valuable data, analyze information, and generate content. AI offers two-way benefits both to the consumer and the advertiser.
Personalization – advertisers can use AI algorithms to generate personalized content in real-time based on audience attributes and contextual factors. It can tailor to individual viewers or specific target segments, such as displaying different versions of an ad based on the viewer’s demographics or showing specific products based on their preferences.
By analyzing historical data, such as purchasing history and real-time interactions, AI algorithms can suggest ads or related content that align with the viewer’s interests for better customer experience.
Audience analytics – AI-powered digital signage systems enable advanced audience analytics by analyzing real-time data from cameras and sensors. Computer vision algorithms can detect audience demographics such as age, gender, and facial expressions, allowing advertisers to deliver more personalized and targeted advertisements. It helps in optimizing ad content and measuring campaign effectiveness.
Contextual targeting – AI algorithms can analyze contextual data, such as location, weather conditions, traffic patterns, and time of day, to deliver ads tailored to the immediate environment. For example, an AI-powered system can display ads for cold beverages on a hot day or promote umbrellas when it’s raining.
Interactive experiences – AI technologies like gesture recognition and natural language processing enable interactive experiences with digital signboards. Users can interact with the signboard through gestures, touch, or voice commands, initiating actions or navigating content. AI-powered interactions enhance the user experience and keep customers engaged. It can also create a more immersive experience for users, allowing them to influence the displayed content.
Intelligent content generation – generative AI can create digital signage content for signboards without manual effort. Intelligent chatbots can analyze various data sources, including social media feeds, news, and trends. They can automatically create visually appealing and contextually relevant content. It reduces the manual effort required to produce content and ensures that the signboard displays up-to-date and engaging information.
Data-driven insights – artificial intelligence can analyze data collected from digital signboards to generate valuable insights. By processing information such as audience engagement, content performance, and environmental factors, AI can provide actionable analytics to optimize the effectiveness of the signboard. These insights help advertisers and content creators make data-driven decisions and refine their strategies for better outcomes.
Remote management and control – these systems allow for remote management and control of digital signboards. AI-powered systems can monitor and manage multiple signboards from a central location, performing tasks such as content scheduling, performance monitoring, and remote troubleshooting. This centralized control simplifies the management process, reduces downtime, and ensures efficient operation of the signboards.
Conclusion
Digital sign boards are evolving fast. What used to be mere lighted store-front signs are now interpreting complex data, learning autonomously, and making near real-time decisions while displaying dynamic content to the right people at the right time. Choose digital signboards engineered with advanced LED technology by LED Craft. Call us today to learn more about designing your digital sign and get accurate traffic count and ROI reports for your locality. Will you use AI in your digital signs?
