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AI-Enabled Traffic Safety Enhancement

NEXCOM rugged edge AI computing platforms empower traffic safety solutions

To thrive in outdoor environments, an edge AI computing platform must be be resilient against extreme temperatures, rain, wind, dust, and the impacts of debris during disasters like wildfires, floods, or landslides. NEXCOM's ATC series IP67 computer is engineered for these demanding conditions. Powered by the high-performance NVIDIA Jetson system-on-module, it delivers exceptional AI performance with high TOPS. Beyond its advanced AI capabilities, the platform integrates wireless and wired communication modules, external environmental sensors, and high-speed cameras. Its robust mechanical design, coupled with high-airtight waterproof components, conformal coating protection, and rigorous submersion testing guarantees reliable operation in the harshest environments.

The Potential of AI-enabled Traffic Safety Solutions

AI-enabled traffic safety systems offer a range of benefits for protecting both vehicles and pedestrians. By enabling pedestrian detection and predicting driver-pedestrian interaction, AI significantly enhances road safety. Below are examples of AI-enabled traffic safety solutions:

Adaptive Traffic Signal Control: AI systems can adjust traffic signals in real-time based on current traffic conditions, reducing congestion and the risk of accidents.
Incident Detection: AI can quickly identify accidents or hazardous conditions (such as stalled vehicles or debris on the road) and alert authorities, enabling faster response.
Accident Prediction: By analyzing historical traffic data, AI can predict potential accident locationss and times, allowing for preventive measures like increased patrols or public awareness campaigns.
Traffic Flow Optimization: AI can forecast traffic patterns and optimize traffic flow, reducing the likelihood of collisions and improving overall road safety.
Crosswalk Monitoring: AI systems can monitor crosswalks, alerting drivers and pedestrians to unsafe conditions or blind spots.
Enhanced Visibility: AI can control street lighting and signal systems to improve pedestrians visibility to drivers, especially in low-light conditions.

System Architecture

NEXCOM rugged edge AI computing platforms and IoT frameworks enable real-time AI disaster prediction and warning systems

Key Advantages of the NEXCOM’s Edge AI Platform Offerings

Designed for Harsh Environment

With a wide temperature range of -25/-30°C~70°C and an IP67 rating, NEXCOM’s edge computing platforms excel in critical missions and throughout their life cycle.

Unleashing the Potential of Software-Defined Controller

In every Edge AI platforms with Jetson modules, NEXCOM offers NEXCOM Accelerator Linux (NAL), an optimized Ubuntu 20.04 LTS derived from the Jetpack SDK. Programmers can access the pre-approved 5G, Wi-Fi, GNSS, IMU and even CAN bus, MCU, I/O interfaces, power management module and more peripherals through in-house design utility and APIs. The physical signals from peripherals and sensors can be used as data sources for AI inference engine, requiring limited knowhow of hardware installation and configuration.

Enabling Cloud and Container Technologies

The NAL can run containers for AI inference engine, IoT connectivity, datasets storage, ETL, and other applications as microservices in edge deployment. By installing the IoT/Cloud agent, the developers can deploy containers from Cloud service using OTA (Over the Air) technologies.

Validated Peripherals for High Expansion Capabilities

NEXOCM’s Edge AI platform accommodates a wide range of validated peripherals ports such as USB, Isolated CAN Bus, RS-232 and DI/O. It also features LTE, 5G, Wi-Fi, Ignition control, PoE+ for IP Camera or MIPI interface Camera, storage and GNSS, making the platform versatile for a multitude of applications.