Utilize Edge AI to prevent accidents by identifying potential collision scenarios and alert drivers or autonomous systems to take corrective actions.
Transportation Analytics
Accident Alerts
Speed Limit Alerts
Wrong-way Alerts
Optimizing traffic signal timing: adjust signal timing based on real-time traffic conditions use distributed edge technology.
Reduce congestion and protect vulnerable road users (VRU), improving safety at busy intersections.
Smart Traffic Lights
Traffic Flow Detection
VRU detection
Ambulance Detection
Auto collisions are responsible for more than 43,000 deaths in the USA every year. Reducing collisions and protecting vulnerable road users (VRU) is a high priority goal.
Adaptive Traffic Control Systems (ATCS) enables traffic light patterns to be dynamically adjusted based on real-time AI analysis of sensor and camera data. This allows certain types of traffic, such as emergency vehicles or public transport, to be prioritized as needed.
With Supermicro's innovative servers, designed to optimize Edge AI, it is possible to detect and project movement of cyclists, vehicles and pedestrians to increase safety for all.
Smart Seaports
A smart seaport leverages Edge AI to optimize port operations and to enhance efficiency, safety, and sustainability.
Taking advantage of AI deployed locally at a seaport makes it possible to automate and streamline tasks, for example by analyzing data from cranes and containers to optimize resources and create a holistic view of operations.
Smart Airports
Edge AI is incredibly useful in airports, enhancing multiple aspects of operations and security.
AI used to enhance security screening, by processing data from security cameras and scanners in real-time, can identify threats quickly and accurately. In baggage handling, AI can ensure smoother operations and reduces downtime by analyzing the flow of passengers and baggage to predict congestion points and recommend better traffic management.
Safe Rail Transport
Integrating Edge AI with roadside units (RSUs) for railways increases safety.
AI-powered RSUs enhance safety by monitoring railway crossings and track conditions in real-time, alerting operators to potential hazards such as obstacles on the tracks or malfunctioning signals. AI can also analyze sensor data from RSUs to predict maintenance needs, reducing downtime and preventing accidents caused by equipment failures.
AI in Transportation
Making logistics and vehicles safer, more efficient, and sustainable
- Route Optimization
- Predictive Maintenance
- Traffic Management
Optimizing transportation systems at seaports, airports, and on roads and railways involves analyzing vast amounts of data. This data can include traffic information, weather forecasts, or smart camera feeds using computer vision. Making sure this data is processed without delay requires specialized hardware, designed to run AI and IT workloads at the edge of the network.
Product Use Case
SYS-E403-14B-FRN2T
Box-size edge server, suited for small spaces, featuring an Intel® Xeon® 6 series processor and support for GPU accelerators; ideal for smart parking and e-Toll applications.
SYS-E403-12P-IPA2-C
This ruggedized, pole-mounted edge server is designed to be deployed outdoors in critical environments. Features an Intel® Xeon® and GPU support.
SYS-E101-14AM-E
This ultra-compact, fanless system featuring an Intel® Atom® processor delivers power-efficient performance and is capable of operating inside an outdoor cabinet.
Supermicro IP65+
