Systems for remote environments

NYTT integrates software, embedded hardware, sensors and AI for safety and operational efficiency at hard-to-reach sites. Over successive projects it built an end-to-end access control and traceability platform (Trackytt) that now runs at several mine sites. The group is completed by Nytt CL (Chile), focused on smart logistics and AI-assisted industrial management for mining.

• Reduces operational risk and improves the safety of people and assets.
• Automates access control to risk zones at remote sites.
• Ensures real-time traceability of people, vehicles and assets.
• Integrates embedded hardware, PLCs and sensors with web management platforms.

Every solution with the same structure: problem, solution, technology, outcome and deliverables.

01

Trackytt — Access control and traceability

Problem

Managing access, traceability and the safety of people and assets across distributed, hard-to-reach mine sites.

Solution

Trackytt, NYTT's end-to-end access control and traceability platform; its current version (Trackytt 2.0) unifies access control, tracking and sensor management, with embedded controllers and PLC integration.

Technology

Linux server, embedded hardware, PLC, e-Beacon tags, NTCIP signalling.

Outcome

Unified access control and traceability, deployed across more than twenty autonomous access islands.

Deliverables

Trackytt platform, barrier controllers, integrations and documentation.

LinuxPLCe-BeaconNTCIP

02

AI computer vision on FPGA

Problem

Enabling autonomous access to controlled zones by verifying the vehicle and safety-rule compliance, with low latency.

Solution

An AI computer-vision system on FPGA that recognizes the vehicle (type and unit number) and surrounding objects, able to add personal-protective-equipment checks before granting access.

Technology

FPGA, edge image processing, AI models, OCR.

Outcome

Autonomous access island with low-latency inference running at the edge on an FPGA platform.

Deliverables

FPGA design, vision pipeline, barrier integration and documentation.

FPGAIAOCREdge

03

Tracking and IoT at remote sites

Problem

Geolocating personnel and assets, and managing sensors, at remote sites with limited connectivity.

Solution

A tracking system for people, vehicles, equipment and assets, with real-time sensor management, integrated into the management platform.

Technology

IoT, geolocation, sensors, Linux server, mobile apps.

Outcome

Operational traceability and monitoring in hard-to-reach environments.

Deliverables

Tracking software, sensor integration and operations dashboards.

IoTGeolocalizaciónLinuxMobile

04

ZAHIR — Mineral exploration with satellite imagery and AI

Problem

Early mineral exploration is expensive, slow and scattered: huge areas, heterogeneous data and field campaigns worth millions before knowing where to look.

Solution

ZAHIR turns satellite imagery and terrain elevation models into prioritized exploration targets: it detects mineral alteration, extracts terrain structure —drainage, lineaments and intersections— and crosses both layers to produce scored targets. It tells the geologist where to look first.

Technology

Sentinel-2, ASTER and the EMIT hyperspectral sensor; computer vision and AI with explainable, reproducible methods; REST API and GeoJSON export compatible with QGIS/ArcGIS.

Outcome

Prioritized, explainable exploration targets that shrink the area to survey in the field. The platform is under active development; calibration and field validation adapt to each geological context.

Deliverables

ZAHIR platform, detection layers and georeferenced targets, GeoJSON export and documentation.

Sentinel-2ASTEREMITGeoJSON