BCO-500-MTL Halb-robuster lüfterloser Mini-Computer mit Intel® Core™ Ultra Prozessoren, 2x DP, 3x USB, 1x Typ C, 3x LAN, 1x 150W ADP
• Unterstützt Intel® Core™ Ultra Prozessoren, Meteor Lake-U, TDP 15 W
• 1x 262-Pin DDR5 5600 SO-DIMM. Max. bis zu 48 GB
• 3x Intel® 2,5 GbE
• Zwei unabhängige Display-Anschlüsse: 2x DisplayPort
• 1x M.2 M-Key für NVMe/SATA SSD (Standard: 128 GB)
• 1x M.2 B-Key für 4G/5G/NVMe-Unterstützung, 1x M.2 E-Key für WLAN/Bluetooth
• 1x SIM-Kartensteckplatz
• 2x COM, 1x USB Typ-C Gen 1, 2x USB 3.2 Gen 1, 1x USB 2.0
• Breiter Betriebstemperaturbereich: -20 °C bis 60 °C
• dTPM 2.0 unterstützt
• Breiter Eingangsspannungsbereich: 12–24 V DC
• 1x 262-Pin DDR5 5600 SO-DIMM. Max. bis zu 48 GB
• 3x Intel® 2,5 GbE
• Zwei unabhängige Display-Anschlüsse: 2x DisplayPort
• 1x M.2 M-Key für NVMe/SATA SSD (Standard: 128 GB)
• 1x M.2 B-Key für 4G/5G/NVMe-Unterstützung, 1x M.2 E-Key für WLAN/Bluetooth
• 1x SIM-Kartensteckplatz
• 2x COM, 1x USB Typ-C Gen 1, 2x USB 3.2 Gen 1, 1x USB 2.0
• Breiter Betriebstemperaturbereich: -20 °C bis 60 °C
• dTPM 2.0 unterstützt
• Breiter Eingangsspannungsbereich: 12–24 V DC
Modell:
BCO-500-MTL
Zertifizierungen:
Spezifikationen
| System | |
|---|---|
| Processor | • Intel® Core™ Ultra 5 Processor 125U 12M Cache, up to 4.30 GHz (2+8+2 core), 15W • Intel® Core™ Ultra 7 Processor 155U 12M Cache, up to 4.80 GHz (2+8+2 core), 15W |
| System Chipset | SoC integrated |
| LAN Chipset | GbE1: Intel i226-LM 2.5GbE LAN PXE iAMT Support GbE2: Intel i226-V 2.5GbE LAN PXE iAMT Support GbE3: Intel i226-V 2.5GbE LAN PXE iAMT Support |
| Audio Codec | Realtek® ALC897 CODEC |
| System Memory | 1x 262-Pin DDR5 5600 MT/s SO-DIMM. Max. up to 48GB (Non-ECC) |
| BIOS | AMI uEFI BIOS |
| Watchdog | Software Programmable Supports 1~255 sec. System Reset |
| TPM | fTPM 2.0, dTPM 2.0 |
| Display | |
| Display Port | 2x DP++ 1.4 up to 3040x2160 @60Hz |
| Multiple Display | 2x Independent Displays |
| Storage | |
| M.2 M-Key | 1x M.2 M Key (2280, PCIe x4 Gen 4/SATA) support for NVMe/ SATA SSD (Default: 128GB) |
| Expansion | |
| M.2 | 1x M.2 B Key (3042/3052, PCIe x2+USB 3.0+USB 2.0) support for 4G/5G/NVMe 1x M.2 E Key (2230, PCIe+USB 2.0) for Wifi/Bluetooth |
| I/O | |
| DisplayPort | 2x DisplayPort |
| COM | 2x DB9 COM1: RS232/422/485 COM2: RS232 |
| USB | 1x USB 3.2 Type-C (5 Gbps) 2x USB 3.2 Gen 1 (5 Gbps) 1x USB 2.0 |
| LAN | 3x 2.5GbE RJ45 |
| Audio | 1x Line-Out +MIC |
| SIM | 1x SIM Socket |
| DC-in Jack | 1x DC IN Power Jack with Lock |
| Others | 6x Antenna Holes 1x Power Button |
| Operating System | |
| Windows | Windows 10 / 11 |
| Linux | Ubuntu 22.04 / 24.04 LTS |
| Power | |
| Power Adapter | AC/DC Adapter 20V/7.5A, 150W |
| Power Mode | AT, ATX (Default ATX) |
| Power Supply Voltage | 12~24VDC |
| Power Connector | DC in Power Jack with Lock |
| Power Protection | OVP (Over Voltage Protection) OCP (Over Current Protection) Reverse Protection Surge Protection |
| Environment | |
| Operating Temperature | -20°C to 60°C |
| Storage Temperature | -20°C to 75°C |
| Relative Humidity | 10% to 95% (non-condensing) |
| Certification | UL 62368 Ed. 3 CE, FCC Class A, UKCA |
| Vibration | With SSD: 5 Grms (5 - 500 Hz, 0.5 hr/axis) |
| Shock | With SSD: 50G half-sin 11ms |
| Physical | |
| Dimensions | 225 x 130 x 48 mm |
| Weights | 2 Kg |
| Construction | Extruded Aluminum with Heavy Duty Metal |
| Mounting Options | Wall Mounting VESA Mount (75mm x 75mm/100mm x 100mm) Din-Rail Mounting (Optional) |
Ressourcen
| AWS IoT Greengrass |
Premio-Getting-Started-Guide-for-AWS-IoT-Greengrass-BCO-500-MTL-125U.pdf
Premio-Getting-Started-Guide-for-AWS-IoT-Greengrass-BCO-500-MTL-155U.pdf |
| Datasheet |
DS_BCO-500-MTL_Premio.pdf
|
| Product Brief |
PB_BCO-500-MTL.pdf
|
| User's Manual |
UM_BCO-500-MTL.pdf
|
AI-Benchmarks
Intel® Edge Software Device Qualification (ESDQ)
Type
Use Case
Link
Metro AI Suite is an application framework with libraries, tools, and reference implement ations to build AI solutions in the Video Safety and Security, Transportation, and Government Edge markets.
Metro AI Suite is an application framework with libraries, tools, and reference implement ations to build AI solutions in the Video Safety and Security, Transportation, and Government Edge markets.