Seamless Automation, Driven by Real-Time AI and Industrial-Grade Networking
Modern factories depend on precise synchronization between machines, sensors, and control systems to keep production running smoothly. With robust industrial switches, stable power solutions, and edge AI PCs, your automation stays agile, responsive, and resilient—minimizing downtime and maximizing throughput.
Emplus Solutions
- Edge AI PC, operating with Ubuntu LTS, Nvidia DeepStream SDK, Yolov, and Emplus customized midware, API, MQTT
- Industrial switch and RF for connectivity
Smart Mobility, Powered by AI and Resilient Wireless Connectivity
Autonomous Mobile Robots (AMRs) are transforming industrial automation by enabling intelligent, real-time mobility in dynamic and unpredictable environments. Equipped with advanced edge AI processing and robust Wi-Fi connectivity, these robots operate with precision—navigating, detecting obstacles, and making split-second decisions without dependence on cloud infrastructure.
Emplus Solutions
- Edge AI PC with Nvidia ROS OS, Holoscan SDK for Robot
- Industrial switch and RF for connectivity
Smart intersections
Intelligent Transportation Systems (ITS) powered by robust networking infrastructure with edge AI PC are redefining traffic management. Cameras work with wireless links, industrial switches and edge ai PC together to process data on-site, running real-time analytics to detect anomalies—from vehicle breakdowns to accidents. By moving heavy data processing to the edge, cities achieve reduced congestion, faster incident response, and smoother traffic flow. This architecture also enables priority routing for emergency vehicles, optimized signal timing, and significant reductions in commuter delays and emissions.
Emplus Solutions
- Real-Time Accident Detection & Alerts
- Adaptive Traffic Signal Control
- Traffic Violation Detection
Integrated Software Stacks For Time To Market
A hardware-agnostic middleware framework designed to run consistently across both Intel and NVIDIA edge platforms. It abstracts away the complexity of frequent SDK changes, driver dependencies, and diverse AI runtimes, providing a stable, unified, and optimized execution layer. Above this foundation, EAS delivers an optimized video and AI pipeline supporting multi-stream decode, low-latency inference, metadata processing, and deterministic system control across This allows development teams and ISVs to focus on building applications rather than maintaining platform-specific integration.