Real – Time Insights
- Provides real-time inferences for sense and control mission-critical scenarios
- Uses highly accurate trained Computer Vision and Al models deployed at the edge
- Leverages SoC’s heterogenous compute capability
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Designed for Demanding Edge Scenario
- Supports Android and Ubuntu Linux environments
- Multiple high-performance interfaces for cameras, LiDARs and other intelligent sensors, controllers, and actuators.
- Wired and wireless connectivity to on-premises and public clouds
- Low power Fanless designs and compact portable devices
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Multi-layer Security
- Hardware level – Provides encryption through TrustZone (TZ)
- Cloud level – Enables Role-based access control and device provisioning to enable only authorized devices to communicate with the cloud platform
- Chipset level – Offers end-to-end encryption with an external cryptochip that is fully isolated from the SoC, and acts as a secure store for all security certificates
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Highly Customizable Platform
- Platform offers a high degree of modularity with standard high-performance interfaces like custom SMARC and M.2 connectors for hardware extensions like compatible storage, WWAN, AI accelerators, and various video inputs
- Provides customizable splash screen and launcher to reflect the branding guidelines of the OEM
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Transforming Patient Outcomes with Powerful, Predictive and Precise Connected Healthcare
MedTech Solutions
Building advanced MedTech Devices
- Diagnostic Equipment
- Surgical Assistance Devices
- Robotic Surgery Systems
Contactless vital sensing for telehealth from facial images |
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Customizable Platform for Tele-operation over Private 5G Network
Smart Tele-operation at Edge
- Interfaces like multiple cameras, LiDAR, IMU and other sensors, motion controllers, display units at the vehicle and the operator side.
- Teleoperation specific APIs, AI Analytics, Cloud and Security tightly integrated over a Private 5G network to realize the QoS and performance parameters required for real-time low speed teleoperation.
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Accelerate your Industry 4.0 Digital Transformation with AI at the Edge
Industry 4.0
- Realize the power of real-time operational data to optimize efficiency and digital transformation by enabling AI at the edge.
- Connect, process, and evaluate your data in real-time with our customizable plug and play hardware and software solutions.
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Hardware Specifications

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Software Specifications

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Components |
Descriptions |
Processor (QCS8250 / QRB5165) |
Kryo 585-64bit with 4MB L3 Cache, (Kyro gold 2.419 GHz with 256KB L2)*3, (Kyro gold 2.842 GHz with 512KB L2)*1 and (Kyro silver 1.8 GHz with 128KB L2) *4 |
Memory and Storage |
System memory: 8GB LPDDR5 POP UFS memory: 128GB |
OS |
4G/5G through RM500Q-GL(Option) |
Connectivity: WWAN |
Wi-Fi 6 – 802.11ax 2×2 MU-MIMO Wi-Fi/BT 5.1 |
Peripheral Interfaces |
Camera: USB, DVI, HDMI MIPI – CSI Display: DVI, HDMI, DisplayPort and MIPI – DSI High-Speed I/O: USB 3.x, PCIe |
Connectivity LAN |
Gigabit Ethernet |
Expandable Storage |
NVME/SATA SSD slot |
Hi-Performance Expansion |
M.2 slot with USB3.x & 2-lane PCIe Gen 3 |
Antennas |
2X2 MIMO for 4G/5G , 2X2 for Wi-Fi/BT |
Power Input |
12V DC |
Video Encoding |
Up to 4K 120 fps 10-bit: H.265 |
GPU |
Adreno 650, Fmax 587MHz-2X2K 60fps UI, OpenGL ES 3.2, Vulkan1.1, DX12FL12.1, OpenCL 2.0 full profile |
Digital-signal Processing/NPU |
Compute DSP with Hexagon Vector extensions (dual-HVX) and Hexagon CP2.0, Dedicated NPU230 |
Security |
SPU 240, Secure boot3.0 using Android Strongbox and iUICC, secure debug, secure key provisioning, TrustZone, Qualcomm® Trusted Execution Environment 5.0, hardware-supported Keystore Crypto engine v5 (CE5), DRBG/PRNG (FIPS- compliant), inline crypto engine (FIPS- compliant) Secure file system, Fast trusted storage, DRM support in Hardware |
Audio |
Built-in Audio Codec, Support for Multiple Digital MIC/MIC-Arrays, Stereo Speaker outputs, Qualcomm Fluence Pro audio signal processing (echo, noise, beamforming, beam tracking), Enhanced third party front-end audio processing |
SoM Interface |
Custom SMARC |
Dimension |
SoM – 100mmX50mm. Carrier – 23.8 cm X 20 cm |
Peripheral Compatibility |
Camera: Stryker – (DVI interface), AIDA – 100 (HDMI interface), Customized IR camera (USB 3.1) Displays: Waveshare AMOLED FHD HDMI display with touch Storage: Western Digital NVMe SSD – SN500, SN550 WWAN: QUECTEL – RM500Q – GL (Worldwide 4G/5G support) |
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Components |
Descriptions |
OS |
Andriod- 10, QCS8250LA1-0-AP-Standard-OEM/master/r00013. 1 or Ubuntu |
Compute Power |
15 TOPS cumulative (Octa-core APSS, DSP, NPU, GPU, DPU, VPU) |
Imaging |
OpenCL 2.0 profile, OpenGL 3.2 profile, Vulkan 1.1, OpenCV accelerated by fastCV |
Board Support |
Optimized bootloader and drivers for all listed peripherals |
Package (BSP) |
Fluence/Acoustic voice suite (use case like Keyword spotting, Voice-based UI) |
Analytics |
Object detection | Object tracking | Image segmentation |
Public Cloud Connectivity |
Azure IoT Hub |
Device Management Edge Agent |
AWS Green grass, Azure IoT Edge, and Customized OEM specific edge agents |
ML ops |
AWS Sagemaker, Azure ML and iFusion™ |
OTA Updates |
Android OS updates, Security patches, Device specific application updates |
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SDKs
Components |
Descriptions |
Hexagon DSP SDK |
Designed to optimize the features and performance of multimedia software
Helps allow audio, imaging, embedded vision, and heterogeneous computing acceleration on the Hexagon DSP embedded in Qualcomm Technologies processors to create compelling multimedia user experiences |
Qualcomm® Neural Processing SDK |
Optimizes deep learning processing performance across available resources to achieve a superior edge computing experience |
Qualcomm® Computer Vision SDK |
Offers a mobile-optimized computer vision (CV) library, enabling use cases like object detection, object tracking, & image segmentation |
Qualcomm Spectra
480 Image Signal
Processor (ISP) |
Supports up to 12 cameras by D-PHY and 18 cameras by C-PHY (seven concurrent) |
SNPE SDK |
Enables trained AI/ML models execution on the edge |
ROS 2 |
Pre-integrated Robotics Operating System 2 on ISQ8250/ISQ5165 only with selected drivers for sensors and outputs |
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