General Information:
| Industry: | Country: |
|---|---|
| Advertisement | Israel |
| Platform: | Website: |
| Web, Edge (Nvidia Jetson) | https://seedoo.co |
Key Challenges:
Ineffective traditional advertising methods for outdoor spaces. Difficulty in delivering personalized content to specific audience segments. Limited ability to track and analyze audience engagement in real-time. Need for a dynamic and responsive advertising solution for DOOH displays.
Solution Highlights:
Targeted Ads for DOOH Displays leverages advanced embedded devices with installed computer vision and neural network technologies to revolutionize outdoor advertising. Audience Recognition: utilizes facial recognition and object detection to identify and categorize individuals and groups. Implements real-time analysis to understand demographics, behaviors, and interests. Dynamic Content Delivery: tailors advertisements based on the identified audience, ensuring personalized and relevant content. Integrates with backend systems to fetch and display real-time promotions and offers. Location-Based Targeting: utilizes GPS and location data to customize ads according to the specific geographic area and local trends. Optimizes Ad content based on the time of day, weather, and other contextual factors. Audience Tracking: implements robust tracking mechanisms to monitor audience movement and engagement. Provides analytics and reports on the effectiveness of each advertisement.
Results:
Increased Engagement: achieves a 30% increase in audience engagement compared to traditional static displays. Higher Conversion Rates: personalized and relevant content leads to a 25% boost in conversion rates. Real-time Optimization: dynamically adjusts ad content based on changing audience demographics and environmental factors. Adoption and Growth: provides a hight prospects for rapid adoption by major advertisers, with installations in high-traffic areas globally, resulting major increase in revenue.
Technologies used:
- Python
- OpenCV
- PyTorch
- GCP Vertex AI
- AWS SagaMaker
- TensorRT
- ONNX
- Nvidia Jetson Nano/Xavier
- MongoDB
- Fastdup
- cnvrg.io
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