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.

Vision用の圧縮

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:
  • マルチプラットフォームの可能性:intoPIXは、ASIC/FPGA IPコアとCPU/GPU SDKの両方を提供  
    • FPGA encoder/decoder IP Cores for the camera
    • GPU & CPU SDK for encoder/decoder , for the frame grabber, CCU, receiving side.
  • マルチ画像/ビデオフォーマット:
    • 各種 ビット深度コーディング (コンポーネントあたり 8 ビットから 16 ビット)
    • 低解像度から20480x10240ピクセル、それ以上まで様々な解像度があります。
    • さまざまな速度、毎秒の画像:リアルタイムキャプチャまたは高速キャプチャの両方
  • さまざまなコーディング モード:

当社の技術は、GiGE Vision、USB-3、Coaxpress、Genicam、MIPI、LVDS、RTPなど、あらゆる標準インターフェースに適しています。
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 16-bit RAW @ 10:1 compression

  • Stream 8K on existing cables and infrastructures
  • カメラから処理ユニットへのリアルタイム接続と伝送を容易にする。
  • 費用対効果の高いストレージ・デバイスへのキャプチャー

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.

Explore our 8K solutions

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.

業界リーダー達が intoPIXの革新的技術に信頼を寄せています。

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

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