Optimize medical machines to improve accuracy and efficiency
運用 SUNIX CAN FD 打造反應快速精確的AMR
| Background
The necessity of upgrading to CAN FD
Due to the stability and reliability of the CANbus communication protocol, it has increasingly been adopted in recent years as the primary method for data transmission and sensor control in medical diagnostic equipment. Major brands like Philips, Siemens, and GE have implemented CANbus in MRI machines, CT scanners, X-ray machines, endoscopes, ventilators, and operating room control systems. Compared to the past, where only a few sensors were used, modern equipment demands higher speed and accuracy, with the number of sensors reaching dozens. As a result, the original CAN 2.0 is no longer sufficient, necessitating an upgrade to CAN FD, which offers 8-times the transmission bandwidth and speed, facilitating hardware upgrades in the medical field.
| Advanced Application
Use AI to accelerate the efficiency of image analysis
After patients undergo MRI or CT scans, the images are typically reviewed manually on a PC screen, which can take several workdays and is prone to errors. By implementing the SUNIX SUNCAN FD card and AI accelerator cards, hospitals can speeding up comparison and inference through normal human organ models which created by big data. Doctors only need to review the results, saving 80% of medical labor and reducing patient wait times, thereby alleviating anxiety for both doctors and patients.
| Solution Architecture
SUNIX CAN FD / AI Technical Applications
Hospitals use normal human organ models, along with SUNCAN FD cards and AI accelerator cards, to speed up and accurately infer images, saving time.
| Portfolio
SUNIX SUNCAN FD Series
SUNIX AI Inference Series
Optimize medical machines to improve accuracy and efficiency
運用 SUNIX CAN FD 打造反應快速精確的AMR
| Background
The necessity of upgrading to CAN FD
Due to the stability and reliability of the CANbus communication protocol, it has increasingly been adopted in recent years as the primary method for data transmission and sensor control in medical diagnostic equipment. Major brands like Philips, Siemens, and GE have implemented CANbus in MRI machines, CT scanners, X-ray machines, endoscopes, ventilators, and operating room control systems. Compared to the past, where only a few sensors were used, modern equipment demands higher speed and accuracy, with the number of sensors reaching dozens. As a result, the original CAN 2.0 is no longer sufficient, necessitating an upgrade to CAN FD, which offers 8-times the transmission bandwidth and speed, facilitating hardware upgrades in the medical field.
| Advanced Application
Use AI to accelerate the efficiency of image analysis
After patients undergo MRI or CT scans, the images are typically reviewed manually on a PC screen, which can take several workdays and is prone to errors. By implementing the SUNIX SUNCAN FD card and AI accelerator cards, hospitals can speeding up comparison and inference through normal human organ models which created by big data. Doctors only need to review the results, saving 80% of medical labor and reducing patient wait times, thereby alleviating anxiety for both doctors and patients.
| Solution Architecture
SUNIX CAN FD / AI Technical Applications
Hospitals use normal human organ models, along with SUNCAN FD cards and AI accelerator cards, to speed up and accurately infer images, saving time.
| Portfolio
SUNIX SUNCAN FD Series
SUNIX AI Inference Series
Optimize medical machines to improve accuracy and efficiency
運用 SUNIX CAN FD 打造反應快速精確的AMR
| Background
The necessity of upgrading to CAN FD
Due to the stability and reliability of the CANbus communication protocol, it has increasingly been adopted in recent years as the primary method for data transmission and sensor control in medical diagnostic equipment. Major brands like Philips, Siemens, and GE have implemented CANbus in MRI machines, CT scanners, X-ray machines, endoscopes, ventilators, and operating room control systems. Compared to the past, where only a few sensors were used, modern equipment demands higher speed and accuracy, with the number of sensors reaching dozens. As a result, the original CAN 2.0 is no longer sufficient, necessitating an upgrade to CAN FD, which offers 8-times the transmission bandwidth and speed, facilitating hardware upgrades in the medical field.
| Advanced Application
Use AI to accelerate the efficiency of image analysis
After patients undergo MRI or CT scans, the images are typically reviewed manually on a PC screen, which can take several workdays and is prone to errors. By implementing the SUNIX SUNCAN FD card and AI accelerator cards, hospitals can speeding up comparison and inference through normal human organ models which created by big data. Doctors only need to review the results, saving 80% of medical labor and reducing patient wait times, thereby alleviating anxiety for both doctors and patients.
| Solution Architecture
SUNIX CAN FD / AI Technical Applications
Hospitals use normal human organ models, along with SUNCAN FD cards and AI accelerator cards, to speed up and accurately infer images, saving time.
| Portfolio
SUNIX SUNCAN FD Series
SUNIX AI Inference Series
Optimize medical machines to improve accuracy and efficiency
運用 SUNIX CAN FD 打造反應快速精確的AMR
| Background
The necessity of upgrading to CAN FD
Due to the stability and reliability of the CANbus communication protocol, it has increasingly been adopted in recent years as the primary method for data transmission and sensor control in medical diagnostic equipment. Major brands like Philips, Siemens, and GE have implemented CANbus in MRI machines, CT scanners, X-ray machines, endoscopes, ventilators, and operating room control systems. Compared to the past, where only a few sensors were used, modern equipment demands higher speed and accuracy, with the number of sensors reaching dozens. As a result, the original CAN 2.0 is no longer sufficient, necessitating an upgrade to CAN FD, which offers 8-times the transmission bandwidth and speed, facilitating hardware upgrades in the medical field.
| Advanced Application
Use AI to accelerate the efficiency of image analysis
After patients undergo MRI or CT scans, the images are typically reviewed manually on a PC screen, which can take several workdays and is prone to errors. By implementing the SUNIX SUNCAN FD card and AI accelerator cards, hospitals can speeding up comparison and inference through normal human organ models which created by big data. Doctors only need to review the results, saving 80% of medical labor and reducing patient wait times, thereby alleviating anxiety for both doctors and patients.
| Solution Architecture
SUNIX CAN FD / AI Technical Applications
Hospitals use normal human organ models, along with SUNCAN FD cards and AI accelerator cards, to speed up and accurately infer images, saving time.
| Portfolio
SUNIX SUNCAN FD Series
SUNIX AI Inference Series