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Spotter

Powered by Open-Q™ 6490CS SOM

Spotter is a compact, production-ready robotics platform designed to accelerate the development of AI-enabled and autonomous systems across aerial, ground and maritime applications. Powered by Qualcomm® Dragonwing™ QCS6490 chipset, Spotter combines high-performance vision processing, sensor integration, vehicle-control interfaces and high-speed connectivity in a compact 42 × 120 mm form factor.

NDAA CompliantTAA Compliant
Overview

Production-Aligned Edge AI and Flight Integration for Next-Gen UxV’s

Built for real-world autonomous platforms, Spotter integrates the key interfaces required for cameras, telemetry, navigation sensors, control systems and external payloads. Dual MIPI CSI, analog video, Ethernet, USB and flexible GPIO, SPI, I²C and UART interfaces provide a versatile foundation for perception, navigation, inspection, surveillance and other edge-AI workloads.

Unlike general-purpose embedded development kits, Spotter is engineered around the requirements of mobile robotic and drone systems. Its integrated hardware and software architecture helps OEMs reduce system-integration effort, accelerate proof-of-concept development and move more efficiently toward a production-ready autonomous platform.

Features

  • Qualcomm® Dragonwing™ QCS6490 SoC
  • Up to 8GB LPDDR5 RAM + 64GB eMMC
  • Up to 12.5 TOPS of AI performance
  • Dual MIPI CSI camera interfaces with C-PHY / D-PHY support
  • Analog / CVBS video input and output
  • Qualcomm Linux for long term deployment
  • Optional STM32H7-class flight / vehicle controller
  • Dual IMU, compass and barometer sensor integration
  • Multiple high speed connectivity options

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Specifications
  • Lantronix Spotter AI Platform

    • Processors
      • Qualcomm® Dragonwing™ QCS6490 SoC built on 6nm technology:
      • Kryo™ 670 Octa-core CPU: 1 Prime @ 2.7 GHz + 3 Gold @ 2.4 GHz + 4 Silver @ 1.8 GHz
      • Hexagon™ 770 with Hexagon Vector eXtensions (HVX)
      • Adreno™ 643L GPU @ Fmax Spectra™
      • Spectra™ 570L ISP
      • Adreno™ 633 video processing unit
      • Adreno™ 1075 display processing unit
      • 6th Gen Qualcomm AI Engine
      • Secure processing unit
      • MCU: Optional STM32H7
      • Arm® Cortex®-M7 core up to 480 MHz with DSP and double-precision
      • FPU; 2 MB Flash + 1 MB RAM; advanced timers, PWM, ADC and high speed peripheral interfaces for real-time vehicle and flight control.
    • Memory/Storage
      • Up to 8GB LPDDR5 and 64GB eMMC configuration (other configurations available upon request)
    • Display Interfaces
      • Support for USB3.1 Type-C with DisplayPort v1.4 and USB 2.0 Analog Video Output
    • Camera Interfaces
      • Digital: 2x 4-lane MIPI CSI D-PHY 1.2; Spectra 570L ISP supporting 36 MP + 22 MP at 30 fps or three 22 MP at 30fps ZSL.
      • Analog: CVBS / analog camera input
    • Video Performance
      • Decode: Video decode up to 4K60. Native decode for H.265/H.265/VP9
      • Encode: Video encode up to 4K30. Native encode for H.265/H.265; Support for HDR10 and HDR10+ playback
      • Dec & Enc: Concurrent 1080p60 Decode and 1080p60 Encode or 4K30 Decode and 4K30 Encode
    • Integrated Sensors
      • Dual 6-Axis IMUs — 2.8 mdps/√Hz gyro noise, 70 μg/√Hz accel noise
      • Precision Barometer — ±0.03 hPa relative accuracy, ~±25 cm altitude
      • 3-Axis Magnetometer — 0.3 μT/LSB resolution, up to 200 Hz output
    • High Speed Connectivity
      • 1x GBE Port
      • 1x USB 3.1 with support for Type-C + DisplayPort v1.4 with USB SS data concurrency
      • Addon Connectivity via USB-C for WiFi Debugging
      • 1x PCIe Gen3 2-lane; 1x PCIe Gen3 1-lane for connectivity
    • I/O Interfaces
      • 8x PWM, MAVLink, UART, I2C, I3C, SPI, configurable GPIOs, sensor I/O to dedicated Hexagon™ sensor DSP
    • RC Interface
      • Dedicated configurable ELRS interface
    • Power Consumption
      • <7 Watts (typical)
    • Operating Environment
      • Input voltage: 4.2V nominal
      • Operating Temperature: -20°C to +85°C
    • Form Factor
      • 42x120mm with 30×30 Mounting Holes
  • Software

    • OS Support
      • Qualcomm Linux; Betaflight / PX4 /Mavlink Support
    • Audio Interfaces
      • RCA 2 Channel Audio input
      • RCA 2 Channel Audio output
      • TRS connector Audio input
      • DMIC
    • I/O Interfaces
      • 4× USB 2.0 ports, 1× USB 3.1 Type-C port
      • Micro USB debug UART and serial debug UART connectors
      • MicroSD socket
      • GPIO, I²C, UART, CAN, and JTAG interfaces
      • Digital I/O expansion headers
      • M.2 M-Key connector for PCIe
      • 2× Gigabit Ethernet interfaces
    • Power
      • 12V input
    • Form Factor
      • 200mm x 170mm
    • OS Support
      • Android 13 and Qualcomm Linux

* QCS6490 Chipset Performance, see SOM/SIP Release Notes for details on tested configurations and platforms.

Specifications are subject to change without notice. Not all features listed may be supported in software. All brand or product names are trademarks or registered trademarks of their respective owners. Open-Q is a trademark of Lantronix, Inc. Qualcomm and Qualcomm Dragonwing are trademarks or registered trademarks of Qualcomm Incorporated. Qualcomm QCS6490, Qualcomm Adreno, Qualcomm Hexagon, Qualcomm Kryo, Qualcomm Spectra and Qualcomm AI Engine are products of Qualcomm Technologies, Inc. and/or its subsidiaries. Qualcomm, Adreno, Hexagon, Kryo and Spectra are trademarks of Qualcomm Incorporated, registered in the United States and other countries. Kryo, Spectra and IZat are trademarks of Qualcomm Incorporated. Used with permission.

Lantronix and Open-Q and their respective logos are trademarks, registered and otherwise, of Lantronix Corporation in Canada, European Union, Taiwan, United States of America and other jurisdictions.

Resources
Product Brief

Additional technical documentation and firmware information can be found at Tech Portal HERE

Part Numbers
Part Number Description
SPTR-4WN-DL-1G 8GB LPDDR5 / 64GB eMMC w/ MCU Contact Us
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Based on Qualcomm® Dragonwing QCS6490 System-on-Chip

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Lantronix Centralized Management Software

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From training , to white papers, videos, and more, you’ll find what you need to design, develop, deploy and manage powerful, innovative remote networking and IT infrastructure management applications and solutions.

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