intoPIX
  • Advanced Image Compression for Cameras & Machine Vision

    Optimize RAW and JPEG XS workflows from sensor to system with ultra-low latency and maximum image quality

Optimize RAW Data Workflows for High-Resolution Image Sensors

Image Compression Directly from the Sensor

intoPIX provides advanced image sensor compression technologies designed to manage and compress pixel data directly at the output of image sensors, from 2 Mpx to over 100 Mpx.
These technologies enable efficient compression of RAW (RGGB), grayscale, and RGB images and video streams while maintaining low complexity, lossless or near-lossless quality, and ultra-low latency.

The Challenge of High-Resolution Image Sensors

Image sensors are everywhere, and resolutions and frame rates continue to increase. As a result, the amount of data generated by cameras is growing exponentially.
Without efficient compression, transmitting RAW image data quickly becomes a bottleneck in terms of bandwidth, storage, and processing.
intoPIX solutions help overcome these challenges by reducing bandwidth requirements, simplifying connectivity, lowering power consumption, and preserving both image quality and latency.

비전 응용을 위한 압축

intoPIX technologies enable efficient image compression directly inside cameras and embedded systems, making it possible to transmit high-quality video streams for analysis, inspection, and remote monitoring.
By reducing bandwidth while preserving critical image details, these solutions are ideal for both machine vision and human vision applications.

Our compression technologies offer:
  • 멀티 플랫폼 지원 : intoPIX는 ASIC/FPGA IP-코어 및 CPU/GPU SDK 제공 
    • 카메라용 FPGA 인코더/디코더 IP 코어
    • 인코더/디코더용 GPU 및 CPU SDK, 프레임 그래버, CCU, 수신측용.
  • 멀티 이미지/비디오 포맷 :
    • 다양한 BIT DEPTH 코딩 (구성 요소당 8비트에서 16비트)
    • 다양한 해상도: 저해상도부터 최대 20480x10240픽셀 및 그 이상까지
    • 다양한 속도, 초당 이미지: 실시간 또는 고속 캡처
  • 다양한 코딩 모드:

당사의 기술은 GiGE Vision, USB-3, Coaxpress, Genicam, MIPI, LVDS, RTP 등과 같은 모든 표준 인터페이스에 적합합니다.
intoPIX TicoRAW
intoPIX TicoXS (JPEG XS)

What is Image Sensor Compression?

Image sensor compression refers to the process of reducing the size of RAW image data directly at the output of a camera sensor before transmission or storage.
This approach is essential for modern high-resolution cameras, where data rates can quickly exceed available bandwidth.

Why Compress RAW Image Data?

As image resolutions and frame rates increase, RAW data quickly becomes too large to handle efficiently without compression.
RAW image data contains a large amount of information, especially in high-resolution and high-frame-rate cameras.
Without compression:
- Data rates can exceed available interface bandwidth
- Storage requirements increase significantly
- Real-time processing becomes more complex

By compressing RAW data directly at the sensor level, it becomes possible to:
- Reduce bandwidth requirements
- Enable real-time transmission
- Optimize storage and processing efficiency

Why Use JPEG XS Compression in Cameras & Machine Vision?

As image resolutions and frame rates increase, transporting video data in real time becomes a major challenge, especially in latency-sensitive applications.
Uncompressed or lightly compressed video streams can quickly exceed available bandwidth and introduce delays that are not acceptable for real-time systems.
Without efficient video compression:
- Bandwidth requirements become extremely high
- Network infrastructure costs increase
- Latency can impact real-time performance and decision-making

By using JPEG XS compression, it becomes possible to:
- Enable ultra-low latency video transmission
- Reduce bandwidth while preserving image quality
- Ensure reliable real-time performance for machine vision and professional imaging applications

8K RAW Video Bandwidth Challenges and Compression Solutions
Examples with 8K RAW for recording or connectivity

TicoRAW 16비트 RAW @ 10:1 압축

  • 기존 케이블 및 인프라에서 8K 스트리밍하기
  • 카메라에서 처리 장치로 실시간 연결 및 전송을 용이하게 합니다.
  • 비용 효율적인 저장 장치에 캡처

For example, uncompressed 8K RAW video can require over 30 Gbps of bandwidth, making it difficult to transmit or store efficiently.
With intoPIX TicoRAW compression, the same data can be reduced to a fraction of the bandwidth while preserving image quality and enabling real-time workflows.

8K 솔루션 살펴보기

FAQ

What is RAW image compression?

RAW image compression reduces the size of unprocessed image data while preserving maximum image quality.

Why compress at the sensor level?

Compressing data directly at the sensor reduces bandwidth, latency, and system complexity.

How does JPEG XS improve real-time performance in vision systems?

JPEG XS enables sub-frame latency video compression, allowing image data to be transmitted and processed almost instantly.
This is critical for machine vision applications such as inspection, robotics, and autonomous systems, where even minimal delays can impact accuracy and responsiveness.

Why is JPEG XS suitable for image analysis and machine vision accuracy?

JPEG XS provides visually lossless compression, preserving fine image details that are essential for accurate image analysis and machine vision algorithms.
This ensures that detection, measurement, and AI-based processing remain reliable, even when bandwidth is significantly reduced.

Is image compression lossless?

intoPIX technologies support both lossless and near-lossless compression, depending on application requirements.

What are the benefits for machine vision?

Compression enables faster data transfer, real-time processing, and reduced infrastructure costs.

What is the difference between RAW and compressed image data?

RAW data is unprocessed and contains maximum information, while compressed data reduces size while preserving essential image quality.

Does compression impact image analysis or AI performance?

With lossless or near-lossless compression, image analysis and AI performance remain fully reliable.

업계 리더들은 intoPIX의 혁신 기술을 신뢰합니다.

Leading camera manufacturers and machine vision companies rely on intoPIX technologies to overcome bandwidth and latency challenges in high-performance imaging systems.

문의
당사의 최신 카메라 기술 뉴스 살펴보기