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WildCam

WildCam: AI Monitoring for Remote Wildlife and Field Operations

WildCam is a remote monitoring platform that combines computer vision, edge infrastructure, alerts, dashboards, and field-ready deployment for large outdoor environments.

It demonstrates how Zenaight brings software, AI, connected hardware, and real-world deployment constraints into one operational system.

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Overview image of the Wildcam wildlife monitoring platform

Primary fit

Agriculture and remote operations

AI & Computer Vision

Client context

Built for wildlife operators, farms, and conservation environments that need better visibility across large remote areas.

What needed to be solved

Remote environments needed reliable monitoring without depending on constant manual patrols or occasional wildlife counts
Operators needed faster visibility into wildlife, people, vehicles, and field events across large areas
The system had to remain useful in lower-connectivity conditions where cloud-only assumptions would break down

What Zenaight delivered

A computer-vision monitoring system running with edge-aware deployment logic in the field
A software platform for detections, camera activity, dashboards, alerts, and operational review
Connected infrastructure spanning cameras, embedded hardware, power management, and remote communications

System views

Selected project visuals

A look at how the system is presented across the workflow, interface, and operating environment.

Overview image of the Wildcam wildlife monitoring platform
Original overview image of the Wildcam wildlife monitoring platform
Field camera installation view of the Wildcam wildlife monitoring platform
Dashboard view of the Wildcam wildlife monitoring platform
Camera management view of the Wildcam wildlife monitoring platform
Detections view of the Wildcam wildlife monitoring platform
Map view of the Wildcam wildlife monitoring platform
Analytics view of the Wildcam wildlife monitoring platform
Alerts view of the Wildcam wildlife monitoring platform

Outcomes

What this system supports

The practical value this kind of system is designed to create.

Better wildlife visibility and long-term monitoring confidence
Faster awareness of security-related events and operational changes
A more practical operating picture for remote properties where visibility matters

What this proves about Zenaight

End-to-end intelligent system design across software, AI, and hardware
Strong computer vision execution in live operational environments
Practical deployment thinking for remote and infrastructure-constrained conditions

Related capabilities

AI & Computer VisionIntelligent Hardware, IoT & Embedded Systems

Related industries

AgricultureEnergy

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