Image processing - Import export

The TI ADS7042IDCUR is an analog-to-digital converter (ADC) that converts analog signals into 12-bit digital signals. It has a maximum sampling rate of 1MSPS (million samples per second) and is housed in an 8-pin US8 package. Features: • 12-bit resolution • Maximum sampling rate of 1MSPS • 8-pin US8 package • Low power consumption • Low noise • High accuracy • Wide input voltage range • Low offset and gain errors • Programmable gain • Internal reference Applications: The TI ADS7042IDCUR is suitable for a wide range of applications, including medical imaging, industrial process control, automotive, and consumer electronics. It can be used for data acquisition, signal conditioning, and control systems.

The LTC2440CGN#PBF is a high-performance, low-power, 16-bit, sigma-delta analog-to-digital converter (ADC) with an SPI interface. It is designed to provide accurate, low-noise conversion of differential analog signals in a wide range of applications. The LTC2440CGN#PBF features a wide input range of 0°C to 70°C, a low power consumption of only 1.2 mW, and a fast conversion rate of up to 1.5 MSPS. It also offers a wide range of features, including a programmable gain amplifier, a programmable digital filter, and a programmable reference voltage. The LTC2440CGN#PBF is ideal for applications such as medical imaging, industrial process control, and automotive systems. It is available in a 16-SSOP package and is RoHS compliant.

PG 6040 PLUS is a practical x-ray security equipment which has been widely applied for public security organs and its medium tunnel design is specially for scanning parcels, backpacks,hand luggage, cabin baggage and so on. PG 6040 PLUS has high mobility (and could be easily move to any locations which need the security inspection) through rolling casters. PG 6040 PLUS is an ideal model for baggage scanning because of its reasonable design and various image-processing functions.

The FPGA-based Mustang-F100 accelerator card from ICP Deutschland is designated for industrial inference systems. It is primarily used for deep learning inference in real time, for video and image processing as well as for the analysis of machine and sensor data. The Mustang-F100 is based on the Intel® Arria® 10 GX1150 FPGA and is equipped with 8GB on-board DDR4 RAM. Due to its parallelism and its high degree of configuration, which is inherent in the FPGA, the Mustang-F100 can handle changing workloads and different floating-points. It also supports a variety of topologies such as AlexNet, ResNet or Yolo Tiny. From classic object recognition to video and image classification to facial recognition or image segmentation, there are virtually no limits to the target application.