Engineered for Edge Trust
Technology & Architecture
The Aro Next-Generation Edge Trust Platform is a secure, integrated system built from the ground up to solve security and efficiency challenges. We eliminate complexity and vulnerability by designing the platform around data integrity and real time fusion.
The Core Computing Engine
Our foundation is a single-board architecture dedicated to achieving peak AI performance with minimal resource consumption.
Processor Class: We utilize a Hexa Core Edge SoC (System-on-Chip) integrating a dedicated 5 TOPS NPU Neural Processing Unit. This powerful on-chip acceleration ensures all heavy AI tasks are executed locally, maximizing speed and data privacy.
Operating System AroOS: Our custom-built, secured Embedded Linux distribution AroOS is engineered for single purpose Appliance Mode. The OS stack provides the necessary kernel environment for our C/Python middleware while minimizing the software attack surface.
Multi-Modal Sensor Fusion Fabric
Our system establishes verifiable physical presence and intent through specialized sensor redundancy, eliminating the guesswork of 2D security systems.
Primary Trust Layer (3D Biometrics):
We utilize an integrated 3D Depth Sensing Unit (Active IR Depth) to acquire precise facial depth maps. This on-device process verifies biological presence, instantly defeating photos and videos.
Proactive Ranging & Tamper Detection:
The platform fuses data from two non-visual rangefinders — a 1000 FPS LiDAR Engine (for precise distance verification) and 24 GHz mmWave Radar (for micro-motion triggering). This fusion ensures the AI stack activates only when a target is optimally positioned.
Security, Protocol, and Interoperability
The hardware is nothing without a secure communication backbone. We ensure reliability and compliance across the integration layer.
Encrypted OSDP Bridge:
We implement the OSDP v2.2 Secure Channel protocol using a dedicated RS-485 interface on the SBC’s UART bus. This C/Python middleware manages AES-128 encryption of all credential traffic.
Digital I²S Audio Interface:
Audio feedback is provided via a digital Class-D amplifier that connects directly to the system’s I²S bus. This design guarantees signal integrity and eliminates noise issues associated with analog jacks.
Scalable Manufacturing Path:
Our platform is engineered for mass production through a custom carrier board architecture (designed in KiCad), integrating all discrete components into a single, high-quality PCB unit — fully optimized for scaling.
Platform Design for Scale
The entire system is developed using Host Target methodology, allowing for rapid iteration and debugging on desktop PCs before final deployment.
Codebase:
All application logic is built around Python (PyQt HMI, multi-threading) and C/C++ fundamentals for performance-critical I/O tasks.
Manufacturing Path:
The platform is engineered for mass production through a custom carrier board architecture that integrates all discrete components into a single, compact, and manufacturable unit. This design demonstrates scalability for OEM partnerships and ensures lowest production cost at volume.