Restricted Zone & Perimeter Safety
Detect people entering configured areas and turn intrusion events into real-time operator alerts.
Turn port video into real-time safety intelligence.
Ports combine workers, trucks, cranes, containers, restricted areas and heavy equipment inside one dynamic operating environment. Traditional CCTV records what happened. Edge AI helps identify what requires attention now.
Operators cannot continuously review every gate, yard, terminal and perimeter camera.
Manual monitoring can identify incidents only after an operator notices the scene.
New AI needs to coexist with cameras, VMS, OT networks and port applications already in place.
Start with a clearly defined safety risk or operational bottleneck. Validate one use case, then scale the same industrial Edge AI foundation across the port.
Detect people entering configured areas and turn intrusion events into real-time operator alerts.
Use AI vision to identify PPE compliance and defined worker-safety conditions in active port areas.
Analyze people, vehicles and crane operating zones to support collision-risk and hazard-awareness workflows.
Extend the same Edge AI infrastructure into gate automation, container identification and faster operational processing.
Advantech does not need to replace the camera, VMS or terminal operating system. The opportunity is to provide the industrial Edge AI layer that turns existing video and field inputs into real-time events that port systems and operators can act on.
The visual positions Advantech as the industrial Edge AI layer between existing cameras and port operational systems—supporting local inference, connectivity, industrial I/O and AI applications without forcing a complete replacement of the current stack.
Advantech has supported port environments where long-distance camera connectivity, outdoor reliability, terminal integration and uninterrupted operations are part of the system requirement.
Advantech documented a port lifting project requiring long-distance camera signal transmission, PoE camera connectivity, outdoor robustness and resistance to electromagnetic interference.
Read the official case study ↗Advantech and its local partner supported TCT with rugged vehicle-mounted terminals and device management, helping maintain dependable container operations and reduce downtime.
Read the official case study ↗Port environments are unusual because the same edge infrastructure can support both safety-oriented AI Surveillance and efficiency-oriented AI Vision.
Edge AI hardware must live close to real operations—where temperature, power quality, camera connectivity, lifecycle requirements and system integration matter.
GPU-enabled industrial computing for local AI inference and multi-stream video processing.
Connect distributed video and operational networks without forcing a full infrastructure redesign.
Bridge AI events into alarms, relays, PLC workflows and other field actions where required.
Designed for long-life deployments and integration into real operational environments.
Use industrial Edge AI computing for local inference, Vision AI software for event detection, industrial networking for field connectivity, and remote I/O when AI events need to trigger physical actions.
Compact fanless Edge AI system based on NVIDIA® Jetson AGX Orin™, designed for high-performance local inference close to cameras and field equipment.
Edge AI video analytics software that can work with existing CCTV through RTSP and turn live video into people, face and object intelligence.
Industrial Ethernet switching portfolio for reliable camera, Edge AI and control-network connectivity across demanding field environments.
Advantech ADAM remote I/O and industrial Ethernet modules connect software decisions with field signals, alarms and control actions.
Product selection shown here is a reference architecture. Final hardware, networking, I/O and software configuration should be validated against camera count, AI workload, environmental conditions, integration requirements and local project standards.
Smart-port projects are delivered through an ecosystem. The page therefore speaks to the people who operate the terminal, define the architecture and integrate the final system.
Focus on operational risk, response time and safer workflows across gates, yards and restricted areas.
Integrate cameras, VMS, analytics, networks, I/O and port systems into a deployable architecture.
Embed industrial Edge AI into repeatable gate, yard, crane or terminal solutions.
A port does not need to redesign an entire surveillance environment to validate Edge AI. Define one operational risk, one representative camera and one measurable success criterion.
Explore Advantech transportation solutions, industrial platforms and successful deployment cases.
Start with one camera, one defined event and one measurable success criterion before scaling across the terminal.
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