Today, machine vision combined with GPU-enabled reasoning analysis allows healthcare professionals to focus on what they do best, health and safety. Valuable data collected from edge computers can provide predictive insights leading to better results. With technological advances in machine learning and artificial intelligence (AI), the world today has the ability to analyze real-time data to immediately predict, prevent and treat diseases or epidemics.
However, the scarcity of high-quality doctors, the small amount of large medical equipment in hospitals, the low efficiency of manual reading, and the difficulty of identifying potential lesions with the naked eye have all prompted the traditional medical imaging industry to combine with the new machine vision technology.
The application of Shenzhen Hontek micro industrial motherboard and intelligent manufacturing machine in medical imaging
For medical use, Shenzhen Hontek provides stability, high performance, low power consumption and high resolution graphics for embedded industrial control machines. The latest product uses Intel Elkhart Lake series processor, support DDR4 SO-DIMM memory slot, use 3.5-inch single board computer compact design, support HDMI + DP 4K dual single display output, with processor powerful computing function and industrial characteristics, to meet the different requirements of medical image processing, data transmission and equipment control.
Compact appearance for fanless healthcare devices
Medical system integrators began to develop small, fan-less, stable devices such as portable ultrasound stations and PCR systems. Pico-itx palm size, with USB 3.0, Gbe Lan, RS-232, LVDS, and TPM for medical embedded applications.
Board paste Intel3965U / i5-7200U / i7-7500U CPU; the whole machine has no fan design, directly using aluminum alloy die-cast shell heat dissipation efficient and strong, deal with dust, vibration, strong interference; three Intel Gigabit network ports meet the requirements of industrial robot and machine vision for high speed stability; rich industrial I / O: 4COM, 6USB, SMBus, 16bit GPIO, mSATA, Mini-PCIe, 12-24V DC wide pressure input
A DDR4 SODIMM memory slot supports up to 16GB; high Tg and wide temperature PCB material to ensure wide temperature stability; industrial port protection blocks static electricity and surge, effectively protect the system core stability; and industrial interface chip to ensure data stability and reliability
High-speed computing and parallel graphic computing help provide higher-quality medical imaging and prevention strategies. Machine learning through inferential analysis can rely on viewing and analyzing hundreds of scans to identify meaningful pictures, rather than relying on experts. This is done with deep learning algorithms and neural networks that can easily compare 3D images to thousands of images and can even detect minimal lesion problems.
