SMART TECHNOLOGIES FOR

Advanced Driver Assistance Systems

Solutions for ADAS / AD Systems, Sensor Data Recording & "Efficient" In-Car Raw-Data or Video Transmission

Designed for OEMs and Tier 1 Suppliers

Optimized Cloud Storage for ADAS
Efficient Image Compression for Recorders
Low-Power, High-Quality Sensor Imaging
intoPIX automotive solutions overview
TICO-RAW Bandwidth reduction example
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COMPRESSION DRIVING AUTOMOTIVE VIDEO SOLUTIONS

intoPIX brings cutting-edge image compression technology to the automotive industry, delivering high-quality, low-latency video solutions for Advanced Driver Assistance Systems (ADAS), infotainment, and autonomous driving. Our expertise in JPEG XS and other innovative codecs ensures superior performance, reliability, and efficiency for in-vehicle video streaming and data transfer.


High Quality & Low Latency

Delivering crisp, real-time video for critical automotive applications.

Scalable & Flexible Solutions

Adaptable to diverse automotive systems and architectures.

Proven Reliability
Trusted by industry leaders for ADAS, infotainment, and autonomous driving.
Enhanced Data Efficiency
Optimized video compression reduces bandwidth without compromising quality.

HIGH-PERFORMANCE VIDEO TRANSPORT FOR ADAS APPLICATIONS

CLOUD INFRASTRUCTURE

Are you looking to optimize your storage resources and continually improve your ADAS models with cloud infrastructure?


Perception is achieved through AI networks trained on images collected worldwide and stored in the cloud for training. Our software libraries, optimized for CPUs and GPUs, enable the compression of these training sets, specifically designed to enhance ADAS (Advanced Driver Assistance Systems) models. The initial dataset can be archived, while the compressed set is used daily. Decoding occurs in real-time during training.

  • Reduced Storage Costs: The amount of data needed to store images can be reduced by a factor of 5 to 10, significantly lowering storage costs in data warehouses. Large data storage on Public Cloud rapidly becomes too costly and completely unreasonable.
  • Continuous Improvement of ADAS Models: Cost reduction helps overcome budget constraints, allowing ongoing development of ADAS models over time, ensuring more precise and higher quality models.

RECORDER

Are you aiming to reduce storage costs, speed up cloud uploads, and streamline data management by recoding and compressing images efficiently?


Images are recorded by cars traveling around the world. These cars are equipped with data loggers that store the images before they are transferred to the cloud. Our IP core hardware for FPGAs or ASICs and our software libraries can be used to compress stored images.

  • Cost-Effective Storage: Compression allows for more images to be stored on data loggers, significantly reducing storage costs.
  • Faster Upload Times: Compression decreases upload times to the cloud, improving overall efficiency.
  • Seamless Data Increment: The training set can be incremented without needing to recompress in the cloud, streamlining the data management process.

CAMERA SENSOR

Are you seeking to enhance image quality, and reduce power consumption directly within your camera sensors?


Over time, JPEG XS RAW will become the de facto standard for automotive image transmission and can be integrated directly into image sensors using our low-power ASIC solutions. Decoding can be performed directly on ADAS platforms using our GPU libraries and/or dedicated hardware.

  • Reduced Power Consumption: Reducing the data transfer rate to the central processor will decrease the power required by the camera module, eliminating overheating issues.
  • Enhanced Image Quality: ECU will no longer be limited by the bandwidth of their physical interface, allowing for higher resolution, frame rates, or bit depth of images, leading to higher quality perception.
Reach Out to Explore Tailored Solutions for Your Needs


intoPIX High-Performance Automotive Video Solutions

The world first low-latency sensor and video compression built up for automotive

TicoRAW for Automotive Sensor Data

Our TicoRAW solutions enable to optimize RAW Bayer (& other CFA data) during the capture, transfer, storage and machine learning at the speed of light. Low power in camera, it enables to capture, store and stream RAW (CFA, Bayer), including HDR at the 10X reduced size and bandwidth. Our range of FPGA & ASIC cores (encoder/decoder) supports high resolution (from 2Mpixels to 200Mpixels), at 30, 60, 120 fps (or beyond), handling RGGB, RYYCy, RCCC, and other CFA pattern from 8 to 16bit.

Lossless (mathematically) compression capability is also an intrinsic feature. Our encoding / decoding software libraries target x86-64 CPU , ARM64 CPU & Nvidia GPUs with unbelievable performances! The software capability is also a key benefit for the data acquisition in the vehicle for development purpose.


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JPEG XS for Automotive Video Connectivity (TicoXS)

intoPIX has a large range of JPEG XS implementations from IP cores for FPGA & ASIC to software libraries. The new lightweight low-latency ISO standard is design to replace uncompressed video, preserving a microsecond latency, a lossless quality with a minimal encoding/decoding complexity, which perfectly answer the needs of the automotive industry.


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The Ultimate Benefits of intoPIX ADAS Solutions

TicoRAW
TicoXS
 Extremely low latency
 Pristine Quality
Lossless for Human or Machine Vision

 Empower perception systems
 RAW compression for image sensor
 Lower bandwidth
 Reduced cost and power consumption in devices
 High resolution supported
 Compliant with MIPI interfaces or Automotive Ethernet
 Less interfaces, Less cables, Less storage
MORE INFO ABOUT TicoRAW
MORE INFO ABOUT TicoXS

TicoRAW Bandwidth-Reduction example 
for Sensor Data Interfacing over MIPI or over Auto Ethernet ​

With a TicoRAW sensor compression at 4:1 for example (as in the tables hereunder), it will use (at least) 4x less bandwidth or support (at least) 4x more resolution on same bandwidth, same number of MIPI lane, or transport 4x more sensors on the same wire. 
Note that TicoRAW could compress down to 10:1 and go below 1 Gbps for many formats mentioned hereunder.

< 2.5 Gbps 
 < 5 Gbps
 < 10 Gbps

Regular RAW (in Gbit/sec)

Format Fps 8 bit 10 bit 12 bit 14 bit 16 bit
 1MP/720p30 0.22 0.280.33 0.39 0.44 
 1MP/720p 600.440.55 0.66 0.77 0.88 
 2MP/1080p 30 0.50 0.620.75 0.87 1.00 
 2MP/1080p 60 1.001.24 1.49 1.74 1.99 
 4MP30  0.91 1.13 1.361.59 1.81 
4MP 60 1.812.27 2.72 3.1 3.63 
 4K UltraHD 301.99 2.492.99 3.48 3.98 
 4K UltraHD 603.984.98 5.97 6.97 7.96 
 10MP 30 2.262.83 3.40 3.96 4.53 
 10MP 604.535.66 6.79 7.93 9. 06

TicoRAW (in Gbit/sec)

Format Fps 8 bit 10 bit 12 bit 14 bit 16 bit
 1MP/720p30 0.06 0.070.08 0.10 0.11 
 1MP/720p 600.110.14 0.17 0.19 0.22 
 2MP/1080p 30 0.12 0.160.19 0.22 0.25 
 2MP/1080p 60 0.250.31 0.37 0.44 0.50 
 4MP30  0.23 0.28 0.340.40 0.45 
 4MP 60 0.450.57 0.68 0.78 0.91
 4K UltraHD 300.25 0.620.75 0.87 1.00
 4K UltraHD 60 1.001.251.491.741.99
 10MP 300.570.710.850.991.13
 10MP 601.131.411.701.98 2.27
Low-Latency and low-power lossless video compression in automotive

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PRESENTATION


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EXPLORE AUTOMOTIVE INSIGHTS

Transforming Automotive Applications with Our Solutions

Are you looking to optimize your storage resources and continually improve your ADAS models with cloud infrastructure ?


CLOUD INFRASTRUCTURE

Perception is achieved through AI networks trained on images collected worldwide and stored in the cloud for training. Our software libraries, optimized for CPUs and GPUs, enable the compression of these training sets, specifically designed to enhance ADAS (Advanced Driver Assistance Systems) models. The initial dataset can be archived, while the compressed set is used daily. Decoding occurs in real-time during training.

  • Reduced Storage Costs: The amount of data needed to store images can be reduced by a factor of 5 to 10, significantly lowering storage costs in data warehouses. Large data storage on Public Cloud rapidly becomes too costly and completely unreasonable.
  • Continuous Improvement of ADAS Models: Cost reduction helps overcome budget constraints, allowing ongoing development of ADAS models over time, ensuring more precise and higher quality models.

Are you aiming to reduce storage costs, speed up cloud uploads, and streamline data management by recoding and compressing images efficiently ?


RECORDER

Images are recorded by cars traveling around the world. These cars are equipped with data loggers that store the images before they are transferred to the cloud. Our IP core hardware for FPGAs or ASICs and our software libraries can be used to compress stored images.

  • Cost-Effective Storage: Compression allows for more images to be stored on data loggers, significantly reducing storage costs.
  • Faster Upload Times: Compression decreases upload times to the cloud, improving overall efficiency.
  • Seamless Data Increment: The training set can be incremented without needing to recompress in the cloud, streamlining the data management process.

Are you seeking to enhance image quality, and reduce power consumption directly within your camera sensors?


CAMERA SENSOR

Over time, JPEG XS RAW will become the de facto standard for automotive image transmission and can be integrated directly into image sensors using our low-power ASIC solutions. Decoding can be performed directly on ADAS platforms using our GPU libraries and/or dedicated hardware.

  • Reduced Power Consumption: Reducing the data transfer rate to the central processor will decrease the power required by the camera module, eliminating overheating issues.
  • Enhanced Image Quality: ECU will no longer be limited by the bandwidth of their physical interface, allowing for higher resolution, frame rates, or bit depth of images, leading to higher quality perception.

Superior Lightweight Compression

intoPIX compression codecs for sensors and cameras are the most reliable on the market.


Bandwidth-Efficient Connectivity

Leveraging ethernet cables, ethernet PHY, MIPI, GMSL and other transmission technologies.


The Challenges of the Autonomous Vehicles​

For autonomous driving, multiple sensors are combined and their data transmitted to a so-called ECU (Electronic Central Unit) in which the data from the sensors are jointly analyzed and related actions calculated. Data from these sensors need to be processed with maximum responsiveness, therefore implying a very low latency along the whole dataflow.

                                                                                                                                                                                                                                                            

In terms of implementation and given the number of sensors, power consumption needs to be constrained as much as possible. The cabling inside the car is also critical. High-resolution cameras and limited interface bandwidths require smart compression to reduce the bandwidth during low-latency transmission and/or aggregating multiple sensor streams on one port/cable. Our solutions are suitable for any protocols such as MIPI or Automotive Ethernet and run on FPGA, ASIC, CPU or GPU.

                                                                                                                                                                                                

                        

The in-car transmission - or infotainment - is a collection of hardware and software in vehicles that provides audio or video entertainment as automotive navigation systems, video players, USB and Bluetooth connectivity, Carputers, in-car internet, and WiFi. intoPIX enables to transmit video with lossless quality & microsecond latency, with new technology such as JPEG XS (see TicoXS)

Automotive always requires more cameras that generate an incredible amount of data and thus heavier bandwidth. 

Our objective with new RAW CFA compression (see TicoRAW) is to avoid the multiplication of heavy cables that would imply extra cost, extra space requirement and extra power consumption. Furthermore, in this kind of extremely sensitive use, we cannot afford to neglect the latency; the slightest delay could have catastrophic consequences.