Visual AI in Media & Advertising
Measure visibility. Monitor placements. Automate insights.airis:net brings computer vision to the forefront of media intelligence — enabling data-driven advertising and brand analysis at scale.
The Challenges Faced in Media and Advertising
In the fast-paced media landscape, brand visibility and ad placements are hard to quantify without automation. Manual tracking is time-consuming, inconsistent, and lacks the accuracy advertisers demand today.
Inconsistent Brand Exposure Tracking
Brands invest heavily in sponsorships and placements, but lack accurate insights on how often and how long they’re visible during live or recorded broadcasts.
Complex Visual Contexts
Logos and texts appear in diverse settings — on shirts, in-game screens, colored backdrops, or dynamic environments — making it difficult to track exposure reliably.
No Scalable Ad Content Oversight
Without automated monitoring, publishers and platforms struggle to track ad content, detect inappropriate placements, or benchmark their performance against competitors.
Streamlining analysis in media with AI Object Detection
airis:net’s Visual AI transforms video streams and images into actionable ad intelligence. It detects brand appearances, extracts texts, classifies content, and segments footage with precision — all at scale.
Automated Brand & Logo Detection
airis:net tracks brand logos on clothing, objects, or virtual environments in real time, measuring exposure duration, screen size, and placement accuracy.
Text & Product Recognition in Ads
Our AI reads complex text styles, colored fonts, and variable typography to extract brand names, slogans, or product labels from static or moving media.
Cross-Channel Ad Monitoring
Whether on linear TV, social media, or websites — airis:net identifies ad appearances, categorizes them, and benchmarks visibility across channels and competitors.
Benefits of using airis:net in media industry
Precise Exposure Analytics
Know exactly how long your brand was visible, where it appeared, and how it compares to competitors — with frame-level accuracy and comprehensive reporting.
Real-Time Media Intelligence
Process live TV or streaming content as it happens. Detect logo visibility or ad placements and react instantly across owned or sponsored media.
Scalable Ad and Content Insights
Analyze thousands of videos and images automatically. airis:net scales with your media footprint — from local campaigns to global brand monitoring.
Improved Brand Safety and Compliance
Ensure that your ads appear in safe environments. Detect inappropriate content, brand misuse, or violations of placement guidelines.
Real-World AI Use Cases
Transforming media, ads, and engagement
1. Brand Exposure in Live Sports Broadcasts
Challenge: Tracking how often a sponsor logo on a jersey appears during a match is nearly impossible to do manually at scale.
Solution: airis:net detects players, identifies branded clothing, and calculates precise screen time and positioning of each visible brand element.
Result: Accurate exposure metrics for sponsorship evaluation, contract validation, and ROI analysis.
2. E-Sports Product Placement Analysis
Challenge: Brand visibility varies by location — such as in-game overlays, player chairs, or interview backdrops — and is hard to measure manually.
Solution: airis:net analyzes each frame to detect brand occurrences by zone (stage, in-game, interview), calculating frequency and placement effectiveness.
Result: Insightful breakdowns that help sponsors choose better placements and optimize visibility.
3. Text Recognition in Ads
Challenge: Extracting brand names or product descriptions from dynamic, stylized, or colorful ad layouts is complex and error-prone.
Solution: airis:net uses advanced AI character recognition to read text in varied fonts, sizes, and backgrounds, identifying slogans, callouts, and product names in real time.
Result: Rich metadata from ad creatives, supporting keyword tagging, categorization, and legal compliance.
4. Ad Classification by Brand and Product
Challenge: Identifying and tagging ads by brand, product, or category is often done manually, slowing down analytics and reporting.
Solution: airis:net automatically detects logos, reads text, and classifies each ad unit based on brand identity, product type, and message tone.
Result: Accelerated media asset indexing, faster reporting, and searchable ad archives.
5. Content Monitoring for Publishing Platforms
Challenge: Publishers need to ensure that ad content on their platforms is appropriate, brand-safe, and aligned with regulations.
Solution: airis:net analyzes every visual and video ad for content type, detects banned or inappropriate elements, and flags violations instantly.
Result: Improved brand safety, reduced legal risks, and stronger trust with advertisers and users.
6. Competitive Ad Monitoring (TV & Online)
Challenge: Understanding what ads your competitors are running, where they appear, and how often requires ongoing media monitoring.
Solution: airis:net detects and catalogs competitor ad appearances across linear TV, websites, and social platforms — including visual elements and placement context.
Result: Actionable competitive intelligence to refine campaign strategy and track share-of-voice.
7. Automated Video Segmentation for Sports Content
Challenge: Creating highlight reels or thematic content from full sports matches is time-consuming and manual.
Solution: airis:net segments sports footage into predefined categories (goals, fouls, interviews, crowd shots), using visual patterns and motion cues.
Result: Enables automated video editing, personalized content delivery, and faster highlight publishing.
8. Social Media Ad Detection and Trend Analysis
Challenge: Brand placements often go unnoticed on influencer videos or viral content.
Solution: airis:net scans public social media content for logo appearances, ad-like visuals, and product mentions — across platforms like Instagram, TikTok, and YouTube.
Result: Identify organic brand reach, measure influencer effectiveness, and track trends across channels.
9. Logo & Tagline Visibility Heatmaps
Challenge: It’s unclear where logos appear most effectively within a frame or environment.
Solution: airis:net creates heatmaps of logo visibility based on position, duration, and viewer attention zones.
Result: Data-driven creative and media planning for optimized placement and viewer impact.
10. Ad Scene Context Recognition
Challenge: Brands want to ensure their ad appears in a positive or relevant environment (e.g. not next to violence or political content).
Solution: airis:net classifies the visual and thematic context of the surrounding scene, flagging misalignments or risky content.
Result: Protects brand integrity and supports contextual ad placement strategies.
Get AI-Powered Media And Advertising
Unlock Smarter Media Intelligence with airis:net
Why Choose Us
Smarter media analysis with Visual AI
Airis:net brings advanced Visual AI to media and advertising, enabling accurate content analysis, automated checks, and data-driven decisions. From brand safety to audience insights, our AI adapts to your environment, scales across channels, and reduces costs while preventing errors that lead to wrong decisions.