Eyes on the Road

Smart City Co. Enhances Road Safety

with AAEON’s BOXER-8645AI

Smart City Co. faced growing challenges in enforcing traffic laws and reducing congestion. By leveraging AAEON’s BOXER-8645AI, they successfully implemented real-time AI-driven traffic enforcement at scale.

Smart City Applications
Public Safety

Enhancing security through AI-powered monitoring systems.

Environmental Monitoring

Tracking conditions to improve urban sustainability.

Transport Architecture

Reducing congestion and making roads safer.

Project Objectives


Detect Violations

Create AI-driven system to identify traffic infractions in real time.


Improve Safety

Reduce traffic incidents through consistent monitoring.


Ensure Compliance

Enforce traffic laws through automated systems.


Key Technical Challenges

To enable real-time edge inference, the team had to overcome three main technical challenges…

Computing Power

Need for systems that can handle huge datasets and run AI algorithms at the edge.

Environmental Durability

Devices must withstand outdoor conditions where traffic is monitored.

Communication Reliability

Systems must accurately analyze data and securely transmit findings to central servers.

The BOXER-8645AI Solution

Having used other products from AAEON’s NVIDIA-accelerated embedded AI systems for projects in the past, and also recently demonstrated their AI algorithms as part of a live demonstration with AAEON at Embedded World 2025, Smart City Co. had an existing relationship with AAEON. As such, they were already aware of which models from AAEON’s Smart Platform Division would be suitable for their project needs.

Given the targeted and specific purpose of the application, Smart City Co. saw AAEON’s BOXER-8645AI as the right fit for the project given the system’s exceptional computing power, environmentally resilient design, and unmatched peripheral support.

Addressing the customer’s requirement for a device with high computing power, the BOXER-8645AI offered 275 TOPS of AI performance via its NVIDIA® Jetson AGX Orin™ module and 2048-core NVIDIA Ampere architecture GPU. With this level of speed and computational sophistication, the application benefitted from the BOXER-8645AI’s ability to provide massive parallelism to facilitate the simultaneous analysis of multiple video streams. In addition to this, the system could run complex Convolutional Neural Networks (CNNs) for object detection and lightweight Transformer models for OCR, as well as executing multiple classification tasks at once – e.g. identifying traffic violation type, license plate details, and vehicle type.

Key Hardware Advantages
FAKRA Connectors

Eight connectors for GMSL2 cameras providing high-quality video with ultra-low latency.

Environmental Specs

Operates in -25°C to 65°C temperature range for outdoor deployment.

Connectivity

RJ-45 port connects to 4G router for secure data transmission.

A key factor in the accuracy of the BOXER-8645AI’s analysis was Smart City Co.’s choice of peripheral cameras. Through the BOXER-8645AI’s eight FAKRA connectors, they installed GMSL2 cameras to obtain the image data necessary for analysis. This provided high quality video stream with ultra-low latency, given the GMSL2 interface’s substantial increase in bandwidth speed compared to USB cameras. Another benefit was the multi-camera synchronization offered, which allowed for data to be captured from multiple angles with synchronized frames, achieving extraordinary levels of clarity. The high quality of the images obtained and used by the BOXER-8645AI served to increase the accuracy of the system’s decision-making, reducing false positives by allowing the engine to make use of more reliable data without affecting the speed of operation.

A more practical benefit was also noted in the longer cabling supported by the GSML2 interface, which allowing multiple cameras to be installed on a single edge device and subsequently mounted across locations ranging up to 10 meters. Such a feature added huge value by allowing Smart City Co. to install more cameras on objects such as traffic light frames, poles, and other existing physical infrastructure.

The environmental specifications of the BOXER-8645AI made it more than capable of operating in the conditions required, given its -25°C to 65°C temperature range. Moreover, the PC was easily deployed via wall mount and offered a 9V to 36V power input range so as to maintain operationality even with unstable power supplies.

Camera Integration Benefits

Higher Bandwidth

with GMSL2 for better image transmission


Improved Accuracy

in detecting violations

Multi-Camera Sync

for synchronized analysis


Extended Range

up to 10 meters for flexible deployment

Application Architecture

Impact and Results
Accuracy Rate

License plate recognition precision

Operation

Continuous monitoring

Manpower

Reduced personnel requirements

These outcomes demonstrate the BOXER-8645AI’s suitability for demanding edge AI traffic enforcement applications.