We support various users, such as CCTV control centers, advertising producers, and digital content creators, in efficiently finding the desired scenes, providing significant time-saving benefits.
Competitor's Object Dectection Model
Only capable of detecting limited and simple scenarios. It often results in detection errors and missed detections, making proper initial response difficult and causing security personnel to become easily fatigued. In certain situations, it proves to be highly inefficient.
PIAspace's Multi-Modal AI Model
Accurately identifies incidents such as violence in public places, accidents in industrial sites, or suspicious activities in specific areas. Our Multi-Modal AI technology integrates language intelligence with video recognition intelligence.
PIAspace's multimodal AI technology is an advanced solution that simultaneously analyzes text and video data to solve more complex problems. By understanding the interaction between text and video data and analyzing the similarity between the two modalities, it enables the rapid and accurate search of related content.4o
Our Multi-Modal AI technology converts text and video data into vectors through Text Encoder and Video Encoder, respectively. During this process, text data is transformed into numerical vectors by the text encoder, while video data is converted into numerical vectors by the video encoder. This vectorization process is a crucial step, as it preserves the meaning and features of the data while converting it into a format that can be processed by computers.
The transformed vectors are projected into a high-dimensional vector space (Vector Domain). This high-dimensional vector space is a multidimensional area where various data points can be located, allowing for the integrated analysis of text and video data. In this vector space, the similarity between text and video data is calculated, enabling the identification of meaningful relationships between different data formats.
By calculating the similarity of the projected vectors, our Multi-modal AI evaluates the relevance between text and video data. Through this similarity analysis, users can quickly locate specific scenes in videos triggered by a particular prompt or efficiently search for video content related to the text. This technology is especially useful in various fields such as video analysis, content search, and situational awareness, providing users with richer and more precise search results.
Leveraging Multi-Modal AI technology, PIAspace has developed the MACS and SSAVE video processing solutions.
Multi-Modal AI for Camera Soluion
Our solution enables real-time video analysis that comprehends the context of the captured scenes. Beyond merely recognizing objects, it understands the narrative itself, allowing for the analysis of more complex situations. By integrating language intelligence with video recognition intelligence, MACS significantly enhances the detection of anomalies in videos. This solution can be implemented on any device equipped with a camera, including CCTV, drones, and robots.
Smart Search AI for Vidio Editor
When a user inputs text such as "violence situation," SSAVE quickly provides video clips that match or relate to the text. By leveraging the user's input, it swiftly and accurately locates relevant videos and segments from an extensive video database, significantly saving time during the production process.
Fast and reliable updates, High-speed video analysis, Flexible integration, Real-time data management
We utilize a high-performance video analysis platform capable of processing real-time footage from multiple cameras. Leveraging high-performance GPUs, our system rapidly analyzes videos, providing precise detection and tracking.
Our system utilizes containerized applications for automatic deployment, scaling, and management. Through automated pipelines, we ensure continuous and rapid updates, providing high flexibility and scalability.
Our system easily integrates with various platforms through message queues and sockets. It reliably transmits and processes data even under high traffic conditions.
Our system utilizes containerized applications for automatic deployment, scaling, and management. Through automated pipelines, we ensure continuous and rapid updates, providing high flexibility and scalability.
At PIAspace, we continually innovate to provide our customers with unique solutions. Our technology is safeguarded by patents, ensuring that we deliver distinctive value that sets us apart.