EC4600
KI-Edge-Computer
EC4600 AI edge computer for real-time visual recognition and local image analytics.
FOTO
AI Edge Computer for Real-Time Visual Recognition
14 TOPS, octa-core ARM, Adreno GPU
Vision-ready I/O
4× camera power, HDMI, USB, SPK
4G, Wi-Fi 6, 6× FE, dual SIM
Metal shell, IP40, fanless, wide
temp
HW/SW watchdog, link detect, BAT
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Technische Kernspezifikationen
KI-Rechenleistung 14 TOPS (comprehensive); octa-core ARM up to 2.7 GHzCellular Network LTE Cat4, 4G; 2 × Nano SIM; dual SIM failoverAbmessungen (B × T × H) 190 × 143 × 40 mm (including mounting parts); wall mountingEthernet Ports 6 × 10/100 MbpsNetwork Features ARP, Ethernet; Static IP, DHCPBetriebssystem Android 12Operating Temperature & Protection -10 °C ~ +60 °C; IP40; fanless metal housingPower Supply 12 V GleichstromZuverlässigkeit Dual SIM backup; multi-level link detection; embedded watchdogSicherheit Sicherer BootVision & Serial I/O 4 × camera power (5 W); 2 × RS-232; 2 × RS-485; HDMI; 2 × USB 2.0W-lan STA; 802.11a/b/g/n/ac/ax; 2.4 / 5 GHz dual band
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Hardware Performance
KI-Rechenleistung 14 TOPS (comprehensive)CPU Qualcomm QCM6490: 1 × Kryo 670 Gold Plus @ 2.7 GHz + 3 × Kryo 670 Gold @ 2.4 GHz + 4 × Kryo 670 Silver @ 1.9 GHzFlash 128 GB eMMCGPU Qualcomm® Adreno™ 643 @ 812 MHzRAM 8 GB
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Hardware Interface
Backup-Batterie 1 × backup battery interfaceCamera Power Supply 4 × white round interface (Ø5.5 × 2.1), 5 WEthernet Port 6 × 10/100 MbpsGPIO 2 × OUTHDMI 1 × HDMINTC 1 × NTC temperature sensingPower Button 1 × PowerSerielle Schnittstelle 2 × RS-232 (DB9); 2 × RS-485 (one 4-pin with power supply, one 3-pin industrial terminal)SIM 2 × Nano SIM slotLautsprecher 1 × SPK, supports 5 W speakersUSB 2 × USB 2.0
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W-lan
Frequency Band 2.4 / 5 GHz dual bandOperating Mode STAProtokoll 802.11a/b/g/n/ac/ax
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LED Indicators
3G/4G Cellular indicator always on when connected normallyPower Power supply indicator, always on after power-onStatus Status indicator flashes during normal operationUser LED 4 × LED
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Power
Power input 12 V Gleichstrom
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Mechanisch
Kühlung LüfterlosAbmessungen (B × T × H) 190 × 143 × 40 mm (including installation parts)Gehäuse MetallIngress Protection IP40Mounting Wall mounting
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Umwelt
Ambient Humidity 5 ~ 95 % RH (non-condensing)Betriebstemperatur -10 °C ~ +60 °CLagertemperatur -40 °C ~ +85 °C
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Physical
EFT Level 2ESD Level 2Free Fall IEC 60068-2-32Shock IEC 60068-2-27Surge Level 2Vibration IEC 60068-2-6
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Betriebssystem
Betriebssystem Android 12
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Network Features
LAN Protocol ARP, EthernetNetwork Type 4GWAN Protocol Static IP, DHCP
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Sicherheit
Sicherer Boot Unterstützt
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Zuverlässigkeit
Backup Dual SIMEmbedded Watchdog Device self-diagnosing; auto-recovers from operation faultsLink Detection Multi-level link detection; auto redials once disconnected
Standardpaket*
- EC4600 AI Edge Computer *1
- 4G Antenna *2
- Wi-Fi Antenna *2
- GNSS Antenna *1
* Standard package contents vary by standard order codes.
Optional accessories
- Power Supply *1
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DeviceLive
IoT-Geräteverwaltungsplattform
Device management, remote monitoring, edge app management, and remote maintenance to help industrial enterprises build intelligent edge networks.
Häufig gestellte Fragen
What does the EC4600 offer?
The EC4600 is a Qualcomm-based AI edge computer purpose-built for real-time visual recognition in industrial and commercial deployments. Highlights:
| Compute | Qualcomm QCM6490 octa-core ARM Cortex (1× Kryo670 Goldplus @ 2.7 GHz + 3× Gold @ 2.4 GHz + 4× Silver @ 1.9 GHz); Qualcomm Adreno 643 @ 812 MHz GPU; 14 TOPS comprehensive AI compute |
| Memory | 8 GB RAM, 128 GB eMMC |
| Betriebssystem | Android 12 |
| Mobilfunk | 4G LTE Cat 4; 2× nano-SIM with dual-SIM failover |
| W-lan | 802.11 a/b/g/n/ac/ax (Wi-Fi 6), 2.4 GHz + 5 GHz dual-band, STA mode |
| Ethernet | 6× 10/100 Mbps |
| Camera I/O | 4× camera-power supply outputs (5521 white round connectors, 5 W each) for IP-camera deployments |
| Other I/O | 2× RS-232 (DB9), 2× RS-485 (one 4-pin with power, one 3-pin terminal), 2× USB 2.0, 1× HDMI, GPIO, NTC temperature input |
| Audio / status | 1× SPK (drives 5 W speaker), 4× LEDs, backup-battery interface, power button |
| Power / form factor | 12 V DC; metal housing, fanless, IP40, wall-mount, 190 × 143 × 40 mm |
| Environment | −10 to +60 °C operating |
- EC4600-DQ20-STD — China LTE Cat 4 (LTE FDD B1/3/5/8, LTE TDD B34/B38–41, WCDMA B1/B8, TD-SCDMA B34/B39, CDMA BC0, GSM 900/1800)
- EC4600-FQ58-STD — EMEA LTE Cat 4 (LTE FDD B1/3/7/8/20/28A, LTE TDD B38/40/41, WCDMA B1/8, GSM B3/8)
How do I install and access the EC4600?
- Wall-mount the EC4600 using the integrated mounting points (190 × 143 × 40 mm metal chassis, IP40, fanless).
- Connect antennas for 4G (SMA) and Wi-Fi (RP-SMA), insert SIM card(s) into the dual nano-SIM slots.
- Connect cameras — up to four IP cameras can draw power from the 4× 5521 white-round camera-power outputs (12 V, 5 W per output) and stream over the EC4600’s Ethernet ports.
- Apply 12 V DC power. The Power LED is solid red on power-up; the Status LED flashes during normal operation; the 3G/4G LED is solid when cellular is connected.
- Access Android 12 via HDMI display + USB peripherals, or remotely via SSH once the device is on the network.
How do I wire and power IP cameras to the EC4600?
The EC4600 exposes two distinct interfaces for IP-camera deployments:
| Connection | Source on EC4600 | Spec |
| Camera power | 4× camera-power outputs | 5521 white-round connector, 5 W per output |
| Camera data | 6× 10/100 Mbps Ethernet ports | Standard RJ45 |
Up to 4 cameras can be powered directly from the camera-power outputs; the Ethernet ports carry the camera streams, with the remaining ports available for the wired uplink or other devices. On Android 12, configure your AI-vision application to consume the camera streams over the local network.
For runtime resilience, the EC4600 includes independent hardware and software watchdogs that auto-recover from operation faults, plus a backup-battery interface that keeps the device running through power interruptions.
How do I deploy AI visual recognition on the EC4600?
The EC4600’s 14 TOPS of comprehensive AI compute (across the Kryo670 CPU and Adreno 643 GPU) runs visual-recognition models locally on Android 12, eliminating cloud round-trips for real-time decisions. Typical pipeline:
- Connect up to 4 IP cameras to the camera-power outputs (5 W each at 5521) and the Ethernet ports.
- Deploy your recognition app as an Android APK or AI-runtime container on Android 12.
- Process locally — the SoC’s ML acceleration runs your visual-recognition algorithm on the live camera streams.
- Push results to a third-party cloud management platform via the cellular / Wi-Fi / wired uplink for device-status monitoring, fault alerts, and online status analysis.
