MicroMax's Solutions
MicroMax's Solutions
MicroMax's Solutions
AVA-5500 Series
Rugged, Fanless AIoT Platform with NVIDIA Quadro GPU Embedded for Real-time Video/Graphics Analytics
Artificial Intelligence (AI) technologies are being adopted globally by all industries to drive efficiency, improve productivity and reduce costs. The rail industry is no exception. Fueled by intelligence from AI-driven systems and applications, railway operations are becoming safer, smarter and more reliable, significantly enhancing passenger travel experience and freight logistics services. For rail transportation, AI can provide improvements including fast and convenient ticket-free check-in to accurate arrival-time predictions, personalized infotainment and onboard services, real-time track heath diagnostics, and rapid response in an emergency.
These AI-driven applications only function with proper data input that is collected by massive numbers of Internet of Things (IoT) devices installed in stations, on trains, and along tracks. A successful implementation of such rail applications requires a seamless integration of AI and IoT technologies. By leveraging more than 20 years of expertise in developing highly reliable and available embedded computing systems, ADLINK brings advanced AIoT (AI and IoT) solutions to rail transportation, enabling customers in developing a variety of applications that can deliver true value and performance. ADLINK is committed to helping customers gain competitive advantages by allowing them to focus their development efforts on differentiating their end applications.
Powered by an Intel Core i7 processor and integrated NVIDIA Quadro MXM module, ADLINK’s EN50155 certified AVA-5500 AIoT Platform is not only ruggedized for both wayside and onboard deployment with its wide range DC input and isolated I/O design, but also provides an ideal edge solution for real-time video/graphics analysis applications that are vital to today’s increasingly complex railroad operations.
The target applications include but are not limited to:
Passenger Information Systems
Railroad Intrusion Detection
Train Station Surveillance
Onboard Video Security
Railroad Hazard Detection
ADLINK’s AVA-5500 is being tested and deployed commercially by leading rail system integrators worldwide. In one application, the intelligent platform is installed on special rail inspection trains to process captured images of key wayside equipment in real-time. With a sophisticated algorithm driven by parallel computing and deep learning, the application can effectively identify potential equipment faults at a train speed of 120km/h, and raise the alarm to notify maintenance crews. In another application, the AVA-5500 is used in a train station control office to analyze the real-time video stream received from the platform. The application is able to not only detect suspicious behaviors and trigger alerts, but also conduct post-event analysis.
To meet varying application requirements, the AVA-5500 is also available in variants featuring an additional two USB 2.0 via M12 connectors and two 2.5″ SATA 6Gb/s drive bays, as well as a version supporting +12VDC power input only.
ADLINK’s AVA-5500 can also be deployed for AI-enabled surveillance and video/graphics processing applications in a variety of adjacent markets including mil/aero, public safety, energy and industrial automation.
CSA-7400
4U 19” Network Appliance
The ADLINK CSA-7400 is a high-performance high-density computing platform supporting four dual Intel Xeon processors E5 compute nodes, interconnected by dual redundant switch modules. The CSA-7400 can ensure uninterrupted service delivery through hot-swappable compute nodes and switch modules. It is ideally suited for building nextgeneration high-performance firewalls and virtualized telecom elements. The main features of the CSA-7400 are summarized as follows:
Supports single-system dual Intel Xeon Scalable Processor (Purley platform)
Dual switch modules provide 2×50G internal Ethernet links to each compute node
Support for hardware based acceleration for processing NVGRE and VXLAN, assisting the construction of large layer 2 networks in the cloud
Support for IPMI 2.0 specification, web-based intelligent system management, and support for SOL on compute nodes
Dual redundant power supply units provide active power management on compute nodes, support flexible power limit polices
Support for PacketManager software to provide data plane software stacks for dynamic layer 3 and flow-based forwarding, accelerating development of customer applications
Optional integration of Wind River Titanium Server software to provide carrier grade NFV service
Support for hardware acceleration for Open vSwitch and OpenFlow protocol processing, accelerating SDN services
Applications
High-end Network Security, Telecom DPI, IDS/IPS, DDoS, NGFW, vBRAS/vCPE
Hyper-Converged Platform (HC)
Cloud Edge, Cloud Interconnection, Cloud Security
CSA-7210
2U 19” Network Appliance with Intel Xeon Scalable Silver/Gold Processors for communications and computing infrastructure deployment
2U 19″ Network Appliance with Intel Xeon Scalable Silver/Gold Processors for communications and computing infrastructure deployment.
HPERC-KBL-MH
Rugged Convection Cooled System with Intel Xeon Processor and MIL-DTL-38999 Connectors
Inside the tiny footprint of ADLINK’s HPERC lives the power of Intel Xeon processor and optional GPGPU parallel processing engine based on a NVIDIA Quadro MXM module. Dual removable secure erase RAID-0 SSDs provide 12Gb/s throughput and security for deployment in hostile environments.
Easy configuration and expansion allows for fast integration of custom rugged embedded applications. Uniquely-keyed MIL-DTL-38999 connectors provide a wide array of fast IO. The HPERC reserves connector pins for expansion interfaces. The GPGPU sits on a 16-lane 3rd generation PCI Express interface to enable image processing and other applications driven by AI and Deep Learning technologies.
Built with proven Ampro (acquired by ADLINK in 2008) reliability, the rugged capabilities of the HPERC are ideal for ground, air and sea deployments in military and aerospace. The HPERC systems survive shock, resist corrosion and galvanic oxidation, and perform in the humid jungle, the heat of the desert, and the bitter cold of frozen mountain passes.
In addition to Intel’s constantly evolving roadmap, NVIDIA’s many-core GPUs have transformed some areas of sensor processing, including radar, wide-area surveillance, and hyperspectral imaging, due the inherent suitability of parallel processing of those data sets. While this parallel processing paradigm has rapidly increased the processing capability within a given SWaP envelope, the real gains are yet to be exploited — the advent of Deep Learning will likely power the next wave of systems capabilities.
Image processing methods perform operations to enhance an image and/or extract useful information from it. Applications include pattern of life analysis, surveillance, reconnaissance, target identification, and geolocation in GPS-denied areas. For example, to collect tens of thousands of hours of aerial surveillance video and other theaters of operation. Turning what are often grainy, shaky videos taken by drones or satellites into clean image streams suitable for analysis — especially real-time analysis — poses a massive computational burden. According to NVIDIA and Motion DSP, GPUs can process such video seven times faster than CPU-only approaches.
Coupled with NVIDIA’s CUDA graphics processing and the OpenGL API, ADLINK’s HPERC, provides solution engineers with a powerful COTS (commercial off-the-shelf) sub-system with which they can design the next generation of image processing systems. More applications, including:
ISR platforms (intelligence, surveillance and reconnaissance)
Radar processing
Software-defined radio (SDR)
Sonar processing
Forward looking infrared radiometry (FLIR)
HPERC-KBL-MC
Extreme Rugged Cold Plate Mount System with Intel Xeon Processor and MIL-DTL-38999 Connectors
Inside the tiny footprint of ADLINK’s HPERC lives the power of Intel Xeon processor and optional GPGPU parallel processing engine based on a NVIDIA Quadro MXM module. Dual removable secure erase RAID-0 SSDs provide 12Gb/s throughput and security for deployment in hostile environments.
Easy configuration and expansion allows for fast integration of custom rugged embedded applications. Uniquely-keyed MIL-DTL-38999 connectors provide a wide array of fast IO. The HPERC reserves connector pins for expansion interfaces. The GPGPU sits on a 16-lane 3rd generation PCI Express interface to enable image processing and other applications driven by AI and Deep Learning technologies.
Built with proven Ampro (acquired by ADLINK in 2008) reliability, the rugged capabilities of the HPERC are ideal for ground, air and sea deployments in military and aerospace. The HPERC systems survive shock, resist corrosion and galvanic oxidation, and perform in the humid jungle, the heat of the desert, and the bitter cold of frozen mountain passes.
In addition to Intel’s constantly evolving roadmap, NVIDIA’s many-core GPUs have transformed some areas of sensor processing, including radar, wide-area surveillance, and hyperspectral imaging, due the inherent suitability of parallel processing of those data sets. While this parallel processing paradigm has rapidly increased the processing capability within a given SWaP envelope, the real gains are yet to be exploited — the advent of Deep Learning will likely power the next wave of systems capabilities.
Image processing methods perform operations to enhance an image and/or extract useful information from it. Applications include pattern of life analysis, surveillance, reconnaissance, target identification, and geolocation in GPS-denied areas. For example, to collect tens of thousands of hours of aerial surveillance video and other theaters of operation. Turning what are often grainy, shaky videos taken by drones or satellites into clean image streams suitable for analysis — especially real-time analysis — poses a massive computational burden. According to NVIDIA and Motion DSP, GPUs can process such video seven times faster than CPU-only approaches.
Coupled with NVIDIA’s CUDA graphics processing and the OpenGL API, ADLINK’s HPERC, provides solution engineers with a powerful COTS (commercial off-the-shelf) sub-system with which they can design the next generation of image processing systems. More applications, including:
ISR platforms (intelligence, surveillance and reconnaissance)
Radar processing
Software-defined radio (SDR)
Sonar processing
Forward looking infrared radiometry (FLIR)
DLAP-201-JT2
NVIDIA Jetson TX2 Edge AI Inference Platform
Deploying AI at the edge can be a complex undertaking. ADLINK’s deep learning acceleration platforms (DLAP) offer scalable, power-efficient AI inference with support for the full lineup of NVIDIA Jetson family.
The DLAP series provides rich I/O interfaces and flexible expansion and support software development kits to reduce design time and efforts to accelerate edge AI deployment.
ADLINK DLAP series are fully compatible with Allxon Remote Device Management, a unified, centralized cloud portal for remote edge security management.
MXC-6600
9th Gen Intel Xeon, Core i7/i3 and 8th Gen Intel Core i5 Processor-Based Embedded Fanless Computer
The MXC-6600 Series provides powerful, fanless, expandable embedded computing using the new 9th Gen Intel Xeon, Core i7/i3 and 8th Gen Intel Core i5 processors with improved computing performance.
The MXC-6600 continues the exceptional fanless design from the existing Matrix C series and offers a rich I/O experience with dual DisplayPorts, and an HDMI port supporting three independent displays, two USB3.1 Gen2 ports, two USB 3.1 Gen1, six USB 2.0 and two GbE LAN ports with adapter teaming support. The built-in 16-channel DI/O enables general industrial control, while PCI & PCI express (Gen3) expansion slots accept a variety of PCI, PCIe x8, and PCIe x16 add-on cards for platform development operations.
Compared to other industrial PCs, the MXC-6600 Series is more compact and reliable with superior dependability in harsh environments where severe temperature variation and vibration may occur. The MXC‑6600 Series provides an optional hot-pluggable fan module to dissipate heat from the system when high power consumption PCI/PCIe cards are installed.
Additional function boards can be customized according to customer I/O needs. The Matrix MXC-6600 Series provides a more robust mechanical design, easy installation, and supports a greater variety of I/O options.
MXE-1400
Intel Atom E3845 Processor-Based Fanless Embedded Computer
ADLINK’s new Matrix MXE-1400 series of rugged quad‑core fanless computers, feature the latest generation of Intel Atom E3845 processors, delivering outstanding performance with minimum power consumption.
The MXE-1400 series accommodates rich I/O interfaces in a compact system size, including DisplayPort, DVI-I (with both DVI and VGA signals), three GbE by Intel network interface controllers, six USB 2.0, one USB 3.0 with dedicated bandwidth, 8 isolated DI/O, and six COM ports, four of which are BIOS-configurable among RS-232/422 and 485 with auto flow. In addition, with a 2.5″ SATA drive bay and CFast port, easy, versatile connection to a wide range of applications is enabled. Dual mini PCIe slots and USIM socket empower the MXE- 1400 as a communications hub for a variety of wireless connections, such as BT/WiFi and 3G/LTE.
Leveraging proprietary mechanical engineering, the MXE-1400 series continues to offer all the popular features of the Matrix E series, including cable-free construction, wide operating temperature ranges, and 5 Grms vibration resistance, having undergone, like all ADLINK Matrix devices, rigorous testing for operational verification.
Combining superior processor performance, wireless capability, and rich, scalable I/O in a compact and robust package, the ADLINK MXE-1400 is an ideal choice for a wide range of applications supporting intelligent transportation, in-vehicle multimedia, and surveillance and factory automation applications.
MXE-1500
Intel Celeron N3160/ N3060 SoC Fanless Embedded Computer
The successor to ADLINK’s best-selling MXE-1300 Series, the MXE-1500 offers richer I/O interfaces, and more flexible I/O configurations in the same compact enclosure.
Intel Celeron (Braswell) processors, Intel’s last generation of CPU to support Windows 7, power the MXE-1500 to a 90% increase in image processing capabilities over the previous generation, and support three independent displays, altogether delivering an unequaled price/performance ratio and making the MXE-1500 an ideal choice for industrial automation applications and mass transit operators.
MXE-210
Intel Atom Processor E3900 Family-Based Ultra Compact Embedded Platform
ADLINK’s new Matrix MXE-210 series of ultra compact embedded platforms, based on the Intel Atom x5‑E3930/x7‑E3950 Processor, delivers optimum I/O design for maximum connectivity.
With two GbE LAN ports, two COM ports, two USB 2.0 and two USB 3.0 host ports, and dual mPCIe slots and USIM socket support communication with connections via Wi-Fi, BT, 3G, LoRa(SX1276), and 4G LTE, the MXE‑210 series enables seamless interconnection, ensuring interoperability between systems.
Matrix’s proven rugged construction assures operation in harsh environments with operating shock tolerance up to 100 G and extended operating temperatures of -40°C to +85°C available.
The MXE-210 series presents an intelligent, robust embedded system supporting wide application development and easy service deployment, for outstanding performance in Intelligent Transportation, Facility Management, Industrial Automation, and Internet of Things (IoT) applications.
