Solutions for Site Surveillance

Low Latency, Bandwidth Control, and Long Lifecycle Maintenance


Operators of distributed yet connected sites such as factories, logistics yards, utilities, and campuses are continuously expanding video, drone, and sensor coverage to improve operational security, compliance, and process reliability. 


Since those deployments scale across multiple locations and include various device types, often placed in harsh environments, practical challenges consist in limited capacity for 24/7 monitoring, bandwidth management, systems maintenance over long lifecycles, as well as, most central, the transformation of data into actionable events. In addition, site surveillance applications require consistent multi-camera management, low-latency alerting, secure remote access, and performance of analytic processes even when networks are constrained or intermittent.

Atlantik Elektronik supports customers from proof-of-concept to deployable and serviceable site surveillance solutions. Our FAE-led design-in addresses key architecture decisions early, including camera topology, compute placement across endpoints and gateways, connectivity strategy, and security boundaries, to avoid redesign cycles as deployments scale from single sites to multi-site rollouts. Atlantik accelerates validation and productization through carrier and accessory coordination, mechanical and thermal concept reviews, software stack readiness assessments, and end-to-end test planning for video pipelines, streaming stability, remote update behavior, and failover scenarios.

Possible Functions of Our Solutions:

 

  • Multi-camera management with event-driven surveillance
  • Low-latency alerts through on-site event detection
  • Edge analytics to reduce backhaul and cloud dependency
  • Secure remote access, provisioning workflows, and updatable architectures
  • Analytics with limited or intermittent connections
  • Platform reuse across stationary cameras, portable units, drone stations, and gateways
  • Lifecycle stability using variant control and documented baselines

 


With our solutions, we provide a production-ready approach to converting continuous video and sensor data accordingly, while ensuring deterministic responsiveness, controlled bandwidth usage, and long lifecycle maintainability in harsh environments. 

 

Edge processing allows for performing analytics tasks close to the data source, which subsequently reduces backhaul and cloud dependency, improves response times, and protects sensitive data on-site, complying with policy requirements. 

 

A tiered endpoint strategy matches workloads to the right compute tier while keeping a consistent software baseline for platform reuse, and higher-capability nodes consolidate streams to run richer on-site analytics, reducing cloud bandwidth dependency and improving response latency. 

 

For repeatable multi-site rollouts, configuration baselines, validated integration recipes, and testable update paths ensure consistent deployment across diverse site conditions.
 

Edge Vision for Video Surveillance, Access Control, Worker Safety, Inspection, and More

 

For site surveillance applications, especially local stream processing and selective forwarding of actionable events, help reduce bandwidth, improve response times, and simplify operations across multiple sites and under varying conditions.

With access control and worker safety applications, privacy and policy requirements are central. Therefore, deployments must remain audit-ready through local processing and support PPE detection, hazardous zone intrusion alerts, as well as anomaly event detection without sharing raw data into the cloud.

Inspection drones enable automated patrol routes and the detection of anomalies on-site through cameras mounted on board and at the dock, allowing the monitoring of remote operation workflows and update activity across multiple locations.
 

Integration Options for Production-Ready Edge Vision Endpoints and Gateways


Our comprehensive portfolio is available to provide and create future-ready development options for standard and customized solutions, benefiting security system integrators, industrial OEMs, facility and EHS operators, as well as drone solution providers. 

Scalable platform strategies further enable standardized designs across endpoints such as stationary cameras, portable units, drone docks, and inspection stations while still segmenting performance tiers to match workload classes and product-line requirements in multi-site surveillance and monitoring platforms, cameras, edge gateways, and rugged surveillance appliances.
 

Edge AI Single-Board Computer for Vision, Robotics, and Deterministic Real-Time Control


Qualcomm Dragonwing™ IQ8 processor + STM32H5 MCU dual-brain architecture for real-world AI


VENTUNO® Q™ enables accelerated evaluation and development of site surveillance and edge vision applications by combining Dragonwing™ IQ8 computing for Linux-based edge AI analytics with an STM32H5 microcontroller for deterministic real-time control in one compact single-board platform.
 

Compact and consice: Our info PDF

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