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aimNet

Our unified AI learns across multiple datasets and tasks simultaneously, delivering seamless and powerful recognition performance.

aimNet

Our unified AI learns across multiple datasets and tasks simultaneously, delivering seamless and powerful recognition performance.

aimNet

Our unified AI learns across multiple datasets and tasks simultaneously, delivering seamless and powerful recognition performance.

Developing proprietary high-performance AI models optimized for edge environments

At A.I.MATICS, we go beyond the limits of open-source models like YOLO by designing and fine-tuning our own AI architectures. Our proprietary models deliver higher accuracy and faster computation, making them fully optimized for on-device AI applications.

Developing proprietary high-performance AI models optimized for edge environments

Process faster with minimal computation.

Because it runs on a single-branch path, it requires fewer resources and achieves higher speed. This enables fast and stable AI analysis without the need for costly servers.

Process faster with minimal computation.

Because it runs on a single-branch path, it requires fewer resources and achieves higher speed. This enables fast and stable AI analysis without the need for costly servers.

Process faster with minimal computation.

Because it runs on a single-branch path, it requires fewer resources and achieves higher speed. This enables fast and stable AI analysis without the need for costly servers.

Lightweight design for versatile device deployment.

With a simplified, lightweight structure—not a complex network—our models can be easily applied across a wide range of edge devices.

Lightweight design for versatile device deployment.

With a simplified, lightweight structure—not a complex network—our models can be easily applied across a wide range of edge devices.

Lightweight design for versatile device deployment.

With a simplified, lightweight structure—not a complex network—our models can be easily applied across a wide range of edge devices.

Analyze diverse objects simultaneously.

Using a Single Branch FPN (Feature Pyramid Network) structure, information from multiple scales is processed at once—detecting everything from large objects to fine details with precision.

Analyze diverse objects simultaneously.

Using a Single Branch FPN (Feature Pyramid Network) structure, information from multiple scales is processed at once—detecting everything from large objects to fine details with precision.

Analyze diverse objects simultaneously.

Using a Single Branch FPN (Feature Pyramid Network) structure, information from multiple scales is processed at once—detecting everything from large objects to fine details with precision.

Proven best-in-class performance in benchmark tests

aimNet v3 delivers higher accuracy and faster processing than the latest YOLO, all with a smaller model size, achieving outstanding efficiency even in Edge AI environments.

업계 표준 모델과의 벤치마크에서 증명된 최고의 성능

AimNet v3는 최신 YOLO 대비 더 높은 정확도와 빠른 처리 속도를 작은 모델 크기로 구현하며, Edge AI 환경에서도 압도적인 효율을 보여줍니다.

Proven best-in-class performance in benchmark tests

aimNet v3 delivers higher accuracy and faster processing than the latest YOLO, all with a smaller model size, achieving outstanding efficiency even in Edge AI environments.

aimNet-based Multi-Channel Multi-Task AI Engine

Traditional AI models are limited in channel capacity and recognition tasks due to resource and structural constraints. aimNet, built on a multi-tasking framework, enables a single model to process multiple video inputs simultaneously. This allows it to perform diverse recognition functions with high efficiency and real-time responsiveness, even in multi-channel and multi-task environments.

aimNet-based Multi-Channel Multi-Task AI Engine

Vision AI Applications Powered by aimNet

A.I.MATICS’s proprietary AI model, aimNet, processes up to seven vision tasks simultaneously on a single video input in on-device environments. From object recognition to accident detection, it delivers integrated performance with high speed and accuracy.