Nexcom Mobile Computing Solutions: AI-Enabled Traffic Safety Enhancement

NEXCOM Rugged Edge AI Computing Platforms Provide Advanced Support for Traffic Safety Applications

An edge AI computing platform can be helpful and reliable if only it is resilient enough against extreme temperatures, rain, wind, dust, and debris impacts caused by wildfires, floods, or landslides. Now, NEXCOM is introducing an ATC series IP67 computer specifically designed for such harsh conditions. With the implementation of the high-performance NVIDIA Jetson system-on-module, this platform achieved the ability to deliver unparalleled AI performance with high TOPS. Besides the impressive AI capabilities, this platform brings together wireless and wired communication modules, environmental sensors, and high-speed cameras. Reliable operation in the most demanding outdoor scenarios is now ensured via the robust mechanical design of this platform, which is coupled with waterproof components, conformal coating protection, and stringent submersion testing.

The Benefits of AI-enabled Traffic Saftey Solutions

AI-based traffic safety solutions bring many benefits to vehicle and pedestrian safety. AI has played a crucial role in enhancing road safety via pedestrian detection and predicting driver-pedestrian interaction. Some of the most notable examples of such contributions are listed below:

Adaptive Traffic Signal Control: AI can adjust traffic lights in real-time based on current traffic, reducing congestion and accident risk.
Incident Detection: AI rapidly identifies accidents or road hazards, such as stalled vehicles or debris, alerting authorities for quicker response.
Accident Prediction: AI predicts high-risk areas and times by analyzing historical data to enable proactive safety measures.
Traffic Flow Optimization: AI can forecast traffic patterns, reduce collision risk, and improve overall road efficiency.
Crosswalk Monitoring: AI monitors crosswalks to alert drivers and pedestrians about unsafe conditions or blind spots.
Enhanced Visibility: AI-controlled street lighting improves pedestrian visibility, especially in low-light areas.

System Architecture

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Key Features of NEXCOM’s Edge AI Platform

Resilient in Demanding Environments

Built to endure extreme conditions, NEXCOM’s edge computing platforms have a broad temperature tolerance of -25/-30°C to 70°C and an IP67 rating. This feature makes this platform durable and suitable for critical missions.

Power of the Software-Defined Controller

Each Jetson-enabled Edge AI platform from NEXCOM comes with the NEXCOM Accelerator Linux (NAL), an optimized Ubuntu 20.04 LTS system derived from the Jetpack SDK. NAL enables developers to access integrated 5G, Wi-Fi, GNSS, IMU, CAN bus, MCU, I/O interfaces, and power management modules through in-house design utilities and APIs. This integration simplifies the use of physical signals from sensors and peripherals as input data for AI processing, even with limited hardware knowledge.

Cloud and Container Support

NAL’s capabilities include support for containers that run the AI inference engine, IoT connectivity, data storage, ETL, and more as edge-based microservices. By installing the IoT/Cloud agent, developers can leverage Over-the-Air (OTA) technology to deploy containers directly from the Cloud.

High Expansion and Peripheral Compatibility

NEXCOM’s Edge AI platform supports a variety of validated peripherals and connections, including USB, isolated CAN Bus, RS-232, and DI/O. It also includes LTE, 5G, Wi-Fi, ignition control, PoE+ for IP or MIPI cameras, storage, and GNSS. These features establish versatility across multiple applications.

Military-Grade Reliability

To guarantee their high resilience and robust performance, NEXCOM’s edge computing platforms have stringent reliability and safety certifications, including CE/FCC, UKCA, and MIL-STD-810H standards.