Intel 9th Gen Core i7 / 8th Gen Core i7/i5/i3 CPU w/ 6 x RJ45 GbE (optional 4 x PoE Max. 100W) / 4 x COM / DP / HDMI® / DVI-I / 4 x USB 3.2 Gen 1×1 / 9-48V Edge Computing Industrial Computer
• Intel Gen9 Core i7-9700TE (12M Cache 1.8GHz up to 3.8GHz)
• Intel Gen8 Core i7-8700T (12M Cache 2.4GHz up to 4.0GHz)
• Intel Gen8 Core i5-8500T (9M Cache 2.1GHz up to 3.5GHz)
• Intel Gen8 Core i3-8100T (6M Cache 3.1GHz)
• Intel Gen8 Celeron G4900T (2M Cache 2.9GHz)
• 2 x DDR4 2400/2666 MHz SO-DIMM up to 64GB
• 5 x Intel i210-AT and 1 x i219 (iAMT9.5 w/ i5, i7 only) Gb/s Ethernet Controllers Onboard Support PXE and WOL
• 1 ~ 255 Level Reset
• 2.0
• 6 x RJ45 GbE (optional 4 x PoE Max. 100W)
• 1 x DP + 1 x HDMI + 1 x DVI-D (Single Link w/o Analog Video)
• 4 x DO (5VDC, 100mA)
• 1 x Line-out, 1 x Line-in and 1 x Mic-in
• Riser card w/ 1 x PCIe x16 slot (1 x PCIe 3.0 x16 interface w/ 1 x ATX 6 Pin Power Output)
Optional riser card w/ 2 x PCIe x16 slot (2 x PCIe 3.0 x8 interface w/ 1 x ATX 6 Pin Power Output)
*Supports up to 185mm in length and 112mm in height PCIe cards
*Maximum power supply from PCIe slot and ATX 6 pin combined @ 150W when DC power source is above 15V
*DC 15V or above power source is suggested when graphics cards are installed
• 2 x Full Mini-PCle Slots
• 1x M.2 A-E Key 2230 slot, 1 x M.2 B Key 3042 slot w/ 2 x SIM Card Sockets for WWAN
• Intel® UHD Graphics 630 for i7/i5/i3,
• Intel® UHD Graphics 610 for G5900T
• Max Resolution (DP1.2) : 4096×2304@60Hz, (HDMI1.4b) : 4096×2304@24Hz
• Win 10, Ubuntu 18.04 64bit
• CE, FCC Class A, RoHS (Self declaration)
• -40°C ~ 70°C, with SSD and ambient w/ air flow 0.6m/s
(System only, not including PCIe cards)
• -20°C ~ 60°C with BAT-5200-E1 Battery Kit
*Operating temp. spec of PCIe cards installed affects overall system operating temp. spec
• -40°C ~ 80°C
• 10% RH – 90% RH (non-condensing)
• Hot Swappable 2 x 2.5” Drive Bay for SATA Type HDD/SSD RAID 0, 1, 5 w/ External Accessibility via USB 3.2 Gen 1×1 when removed
• 1 x M.2 M key 2280 slot supports NVMe and SATA SSD
*Thermal heatsink is required for M.2 storage. Please contact sales window for more information.
(Optional and cannot be installed with PoE module)
*UPS backup time varies depending on actual overall system power consumption.
Patent No. : M447854 – Build-in Battery
• Aluminum Alloy
• Wall-mount
• 7600g (Barebone)
EBOX-7000xyy-zz (x= P= w/PoE, x= Empty= w/o PoE, yy= E1= w/1 x PCIe x16 interface, yy= E2= w/2 x PCIe 3.0 x8 interface, zz= i7R= i7-9700TE, zz= i7= i7-8700T, zz= i5= i5-8500T, zz= i3= i3-8100T, zz= C1= G4900T)
Intel 9th Gen Core i7/ Intel 8th Gen Core i7/i5/i3 CPU w/ 6 x RJ45 GbE (optional 4 x PoE Max. 100W) / 4 x COM / 1 x DP/ 1 x HDMI®/ 1 x DVI-I/ 4 x USB 3.2 Gen 1×1/ 9-48V Edge AI GPU Computing
Made in Taiwan
DDR4-2933 MHz SO-DIMM, 4GB~32GB, 0~70°C/-40~85°C
M.2 2280 B-M key NVMe TLC -40~85°C 64GB~1TB w/ Heatsink
M.2 2280 B-M key SATA TLC -40~85°C 64GB~1TB w/ Heatsink
2.5 inch SATA TLC -40~85°C 64GB~2TB
GTX 1650 4GB GDDR5 w/ 1 x DP1.4a, 1x HDMI® 2.0b, and 1x DVI-D Dual Link
WiFi M.2 2230 A-E key module
M.2 3042 B key 5G<E module
MiniPCIe GPS module
MiniPCIe CAN Bus module
BAT-5200-E1 Battery Kit, 5200m/h, -30~60°C, discharge -20~60°C, operating about 10 mins
280W/24V power adapter
Problem How to improve efficiency in product monitoring and inspection by deploying Computer Vision solutions Solution Computer Vision (CV), a field of artificial intelligence that uses machine and deep learning to allow computers to “see” and analyze their surroundings, is now used in various industries such as retail, manufacturing, and agriculture. Implementing the SINTRONES EBOX-7000 Edge AI Computing within a Computer Vision (CV) solution improves the efficiency of product monitoring and detects defects, contaminants, functional flaws, and other irregularities. It is best used in instances where the human eye is required to assess the ground situation. The images captured by the solution are transmitted via 5G/LTE or the wireless network to the SINTORONES EBOX-7000 for thorough analysis. The SINTORONES EBOX-7000 supports both Edge and Cloud Computing frameworks to provide image-based automatic product monitoring and inspection competencies while adhering to the user’s budget and requirements. Furthermore, the solution can be used as part of quality control systems in production lines. Benefit The SINTRONES Computer Vision Solution encompasses superior and accurate visual detection capabilities that supersedes the need for human vision to identify irregularities in any environment. The advanced algorithms of the SINTRONES EBOX-7000 also eliminate mistakes caused by human error (such as fatigue), saves time and cuts costs significantly. The solution is also applicable in conducting internal and external assessments of various equipment in a production facility, such as storage tanks, piping, and other equipment. EBOX-7000 Intel 9th Gen Core i7/ Intel 8th Gen Core i7/i5/i3 CPU w/ 6 x RJ45 GbE (optional 4 x PoE Max. 100W) / 4 x COM / 1 x DP/ 1 x HDMI®/ 1 x DVI-I/ 4 x USB 3.2 Gen 1×1/ 9-48V Edge Computing For...
Read more
Implementing Edge AI for livestock bio-security has become the cornerstone of modern agricultural digital transformation. By deploying high-performance computing at the source, a leading agricultural technology group successfully established a bio-security backbone capable of 24/7 automated health monitoring and rapid epidemic detection. This advanced Smart Husbandry solution ensures that livestock facilities can minimize economic risks while meeting the most stringent global food safety standards. The Challenge: Overcoming Environmental Hurdles in Epidemic Prevention Managing thousands of animals in open-air or semi-enclosed pens presents significant operational risks. Traditional manual inspections often fail to detect early symptoms, leading to catastrophic outbreaks that threaten entire food supply chains. To achieve effective epidemic prevention, facilities require an AI-driven system capable of processing high-definition video feeds from dozens of IP cameras simultaneously. The technical challenge is dual-fold: the system must perform complex image analysis to identify abnormal behaviors while maintaining absolute stability in harsh environments. These remote sites are characterized by high ammonia levels, dust, extreme temperature fluctuations, and unstable rural power grids. Real-Time Health Monitoring: Shifting to Proactive Livestock Management Beyond basic surveillance, enterprises now require a bridge between massive sensor data and actionable biological insights. The objective of real-time health monitoring is to move toward a proactive biosecurity model. By utilizing precision livestock farming techniques, edge analytics can identify potential fever, respiratory distress, or irregular feeding patterns before they escalate into a herd-wide crisis. Through automated fever detection and behavioral analysis, the reliability of edge technology becomes paramount. This ensures every animal reaching the market meets the highest health certifications, preventing massive livestock loss and securing business profitability. The Solution: EBOX-7000 with High-Performance GPU Acceleration The EBOX-7000 was selected as the central engine for...
Read more
SINTRONES, one of the global leaders in computing technology in vehicles, announces the launch of the new EBOX-7000 Edge AI GPU Computing. The new EBOX-7000 Edge AI GPU Computing is suitable for various factory automation and Industrial Internet of Things (IIoT) control systems in large-scale processes such as mining and manufacturing. It is powered by Intel Comet Lake 10th-gen Core i9/i7/i5/i3 CPU with 6 x RJ45 GbE (opt. 4 x PoE Max. 100W). EBOX-7000 features two LTE SIM Card Sockets with automatic SIM Card detection (Taiwan Patent No. M592609). It supports both 5G and LTE standards for wireless network performance. Furthermore, the users can remove the HDD and use it as a portable hard drive with a USB port and power connector. No additional converter is needed. EBOX-7000 provides PCIe card expansion including a riser card w/ 1 x PCIe x16 slot (1 x PCIe 3.0 x16 interface) or optional riser card w/ 2 x PCIe x16 slot (2 x PCIe 3.0 x8 interface). Both riser cards can be up to 185mm length total 90W~150W PCIe cards. It is expandable with Nvidia Tesla Card, Nvidia GPU card, Nvme card, image capture card and I/O card. Furthermore, EBOX-7000 can be used in edge AI enhancements, intelligent video analytics AI Video analysis, IIoT, traffic management and machine vision. EBOX-7000 features TPM 2.0 and memory 2 x DDR4 2666/2933 MHz SO-DIMM up to 64GB. In addition, the environmental tolerance continually maintains a wide range of operating temperatures (-40°C ~ 70°C) allowing it to operate in extreme and rugged environment conditions. Another highlight of EBOX-7000 is the SINTRONE self-developed technology SINSmart – it provides reliable monitoring of network-connected remote power control devices, Power over...
Read more
