According to Gartner, 50% of critical enterprise applications will operate on the edge by 2027. Additionally, Grand View Research projects a remarkable 36.9% CAGR in the global edge computing market from 2024 to 2030.

As artificial intelligence (AI) continues revolutionizing industries, its impact on edge devices is becoming increasingly significant. Nowadays, the convergence of AI with edge computing is transforming edge devices into powerful tools for real-time, intelligent adjustments, enhancing operational accuracy and efficiency for IoT embedded applications.  

Vantron, a leader in embedded solutions for industrial IoT, is empowering clients with high-performance edge AI computing solutions designed for diverse AIoT applications. By addressing key industry challenges, Vantron enables rapid deployment and accelerates the digital transformation of industries worldwide.  

(Benefits of AI-Powered Edge Devices)

Vantron's Edge AI Solutions

To address the promising future of edge AI and the challenges in real-world applications, Vantron has developed a comprehensive range of high-performance edge AI products including embedded boards, edge AI embedded industrial PCs, and system-on-modules. Tailored to meet diverse applications like industrial automation, smart transportation, smart retail, and healthcare, Vantron provides edge AI solutions with up to 100 TOPS computing power.
Key features include:  
1. Striking an optimal balance between power efficiency and computing capabilities.  
2. Supporting extensive I/O and data transmission for seamless connectivity and scalability.  
3. Customizable designs for diverse application needs while simplifying system integration.

(Vantron’s Edge AI Product Portfolio)

Application Scenarios

Vantron’s edge AI solutions have been successfully deployed across a variety of industries, enabling intelligent upgrades in different IoT domains:  

1.Traffic Object Detection with IBOXJT2:
Powered by NVIDIA Jetson TX2 NX and integrated with the NVIDIA Pascal™ GPU featuring 256 CUDA® cores, it delivers up to 1.33 TFLOPS of computing power, enabling real-time vehicle tracking and anomaly alerts using advanced detection models like YOLOV5 and Faster RCNN.

2.Inventory and Payment Management  with VOSM510:
With APU computing power of 2.8 TOPS, the module features robust multimedia capabilities and comprehensive communication interfaces. When integrated into retail terminals, it enables real-time inventory updates and realizes fully automated self-checkout.
The compact SOM design with versatile interfaces also allows for easy integration, accelerating development, reducing iteration time, and lowering maintenance costs.

3.Surveillance and Security Systems Based on IBOX3588:
Featuring an NPU computing power of up to 6 TOPS, this solution supports popular frameworks such as TensorFlow and PyTorch, enhancing object detection and anomaly identification. It ensures the smooth processing of high-frame-rate video streams, improving safety and operational efficiency.

Conclusion

The integration of AI with edge devices is driving a new wave of innovation, offering faster, more efficient, and safer solutions for a variety of industries. As technologies advance and applications evolve, Vantron remains committed to delivering top-tier, intelligent edge computing solutions to empower clients to embrace the smart era.  

Contact Information

• Contact us at https://vantrontech.us/us/contact
• Follow us on Linkedin and X to learn more updates!