Project at a Glance
AdVista Pro required a next-generation AI video branding solution capable of transforming raw video content into professionally branded marketing assets with minimal manual effort. The objective was to provide marketing teams and content creators with a powerful yet user-friendly platform that could intelligently embed products, logos, and branding elements directly into videos while maintaining visual realism.
We developed a comprehensive web-based platform featuring an intuitive admin portal that allows users to upload videos, select specific regions for branding, and apply product imagery or logos seamlessly within video scenes. Unlike traditional overlay tools, the system was designed to intelligently adapt branding elements to lighting conditions, shadows, and video filters to ensure a natural, native appearance within the environment.
The platform introduced an advanced AI video processing engine capable of object tracking, surface mapping, and dynamic placement adjustments, ensuring that branded elements remain accurately positioned throughout motion sequences and scene transitions.
Solution & Implementation
We engineered an intelligent video processing ecosystem combining AI-driven computer vision with scalable backend infrastructure to automate complex branding workflows.
Key implementation components included:
- AI Video Processing Engine: Developed a robust AI system capable of detecting surfaces and objects within video frames, allowing branding elements to be dynamically mapped and tracked throughout the video timeline.
- Automated Product Placement: Integrated intelligent overlay mechanisms that adjust scale, opacity, perspective, lighting, and shadows to blend branded content naturally into scenes.
- Object Tracking & Motion Stability: Implemented advanced tracking algorithms to maintain consistent placement during camera movement, subject motion, and scene transitions.
- Adaptive Visual Matching: AI-driven color grading and filter matching ensured that logos and product visuals aligned with the original video’s tone, lighting conditions, and cinematic style.
- Intuitive Admin Portal: Delivered a simplified interface with drag-and-select tools for region targeting, branding previews, video uploads, and export management, allowing non-technical users to create branded content easily.
- Scalable Backend Infrastructure: Built REST-based APIs supporting video processing workflows, automated rendering queues, cloud storage management, and efficient video export pipelines.
- High-Quality Rendering Pipeline: Implemented optimized rendering processes enabling the generation of high-resolution, production-ready branded videos suitable for marketing campaigns and digital distribution.
The solution was designed with scalability in mind, enabling future expansion into advanced AI editing capabilities such as automated scene detection, content localization, and AI-driven ad personalization.
Technology Stack
Python
Typescript
Flask
AWS
Cloudflare
Firebase
Next.js
Laravel
MariaDB
AI
Machine Learning
Automation
OpenAI
Gemini
Figma
Project Outcomes
- Enabled automated, AI-driven product placement and branding within video content.
- Reduced manual editing time by providing an intuitive drag-and-select video branding interface.
- Delivered realistic, environment-aware branding through adaptive lighting, shadow handling, and filter matching.
- Improved marketing workflow efficiency by allowing teams to generate branded videos without specialized editing tools.
- Established a scalable AI video processing infrastructure capable of supporting future content automation and personalization features.
- Empowered brands and agencies to rapidly produce localized, high-quality marketing videos at scale.