SUPERB AI.

Overview

AI technology is rapidly expanding within the security industry. From 24-hour monitoring and real-time threat detection to smart access control, AI is being adopted across various fields. In particular, CCTV-based intelligent surveillance systems have become a core pillar of the security sector. According to research by Markets and Markets, the global AI-based security market is expected to grow from approximately $14.3 billion in 2021 to $42 billion in 2026, with an estimated compound annual growth rate (CAGR) of 24%.

A leading security solution provider in Korea reached out to Superb AI to enhance the performance of its AI-powered surveillance systems. The company was in urgent need of training data to address frequent false detections caused by wild animals. In this case study, we explore the collaboration between the company and Superb AI and how they tackled this challenge together.

Challenge: False Detections Caused by Wild Animals – How Can We Secure Training Data from Diverse Environments?

"The most critical factor in a security system is accuracy. Frequent false detections erode customer trust and lead to unnecessary dispatches, resulting in significant financial losses. These false detections, often caused by wild animals, were particularly prevalent in mountainous areas and suburban facilities. However, acquiring real-world footage featuring various animals was extremely difficult." — AI Development Team Lead, Security Solution Provider

The primary challenge for the CCTV-based security system was securing sufficient training data. Wild animal appearances are unpredictable, and capturing relevant footage—especially during nighttime or under severe weather conditions—was even more difficult. Moreover, the company required data from various camera types, including standard RGB cameras, infrared cameras, and fisheye cameras.

Additionally, given the sensitive nature of security data, stringent data security measures were required. Even more, the training data needed to reflect real-world conditions, including variations in lighting, weather, and distance.

Solution: Create High-Quality Virtual Data with Generative AI on a Secure Platform

"We were confident that Superb AI’s generative AI technology could address our challenges. What impressed us the most was its ability to generate hyperrealistic synthetic data that closely resembled real-world scenes. Additionally, the security of the platform was robust enough to handle sensitive security data." — Project Manager, Security Solution Provider

Superb AI leveraged generative AI to provide the following solutions:

1. Generated high-quality synthetic data indistinguishable from real data

- Naturally synthesized various wild animals into real CCTV footage using the SDXL-inpainting model

- Applied camera-specific styles to enhance realism

- Generated data reflecting diverse environmental conditions (day/night, weather)

2. Established a secure data processing environment

- Processed all data on a platform with stringent security policies

- Implemented robust access control and history tracking systems

3. Implemented an efficient data management system

- Implemented automated metadata generation and validation systems

- Provided intuitive tools for data classification and management

Result: Enhanced Both the Performance and Efficiency of the Security System with the Power of Generative AI

"The model trained on generative AI data delivered a remarkable performance. The false detection rate dropped significantly, and its adaptability to new scenarios improved noticeably. Most importantly, we achieved substantial savings in both time and costs associated with data collection." — AI Development Team Lead, Security Solution Provider

Original image (before object generation)

Image with a wild animal generated by Superb Platform’s GenAI

Output of an object detection model trained on synthetic data (1/2)

Output of an object detection model trained on synthetic data (2/2)

Through the collaboration with Superb AI, the company achieved the following results:

1. Reduced development time and cost

- Reduced data collection time by 90%

- Acquired over 11 types of wild animal datasets

- Reduced model development time by 2 months

2. Established a scalable AI system

- Improved adaptability to new scenarios

- Established a continuous and sustainable model enhancement system

Conclusion: Generative AI Has Opened Up a New Landscape for the Security Industry

This project serves as a meaningful case study, demonstrating that generative AI can effectively address long-standing challenges in the security industry. Most notably, it has proven that even in situations where acquiring real-world data is difficult, high-performance AI models can still be developed. Going forward, Superb AI remains committed to driving progress in the security sector with our innovative AI technologies.