Waypoint TelemetryWaypoint Telemetry
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Waypoint Telemetry

Vision-based recreational telemetry for the outdoors

Waypoint provides park agencies and conservation organizations with real-time data on how people use trails, parks, and access points — without installing permanent infrastructure.

Why agencies choose Waypoint

01

Real-time recreation insight

Not weeks later — every 10 minutes

  • Identify peak congestion windows
  • Respond to events, weather, closures
  • Support operations and planning
02

Zero-infrastructure deployment

No power, no network, no trenching

  • Solar + cellular
  • Temporary or permanent
  • Deploy in hours, not months
03

Defensible, high-confidence analytics

Image-based counts you can audit

  • Fewer false positives than IR
  • Explainable anomalies
  • Credible to boards and grant reviewers

Overview

Waypoint is building the first AI-powered telemetry infrastructure for outdoor recreation.

Our system combines rugged autonomous field sensors with computer vision models to measure recreational activity on trails, parks, and public lands—delivering real-time, defensible data without permanent infrastructure.

Unlike traditional infrared counters, Waypoint uses AI detection and tracking algorithms to identify individual trail users, classify activity types, and filter noise—producing research-grade datasets for planning and management decisions.

Hardware Collection

Autonomous sensors designed for remote, off-grid deployment

Data Analysis

AI-powered analytics platform for trends and insights

Accuracy Matters

Computer Vision for Recreation Monitoring

Traditional infrared trail counters often struggle with multimodal recreation environments. A single IR sensor cannot distinguish between a cyclist, a group of hikers, or a dog—leading to inflated or unreliable counts.

Waypoint uses computer vision models to identify and track individual trail users, enabling accurate activity classification, duplicate suppression, and directional flow analysis.

IR Counter Challenges

  • Groups walking together
  • Bicycles and runners
  • Dogs triggering counts
  • Direction of travel
  • Double counting

Waypoint AI Detection

  • Activity classification (walk, run, bike)
  • Duplicate suppression
  • Directional flow analysis
  • Group detection
  • Noise filtering

Validated through controlled field studies and real park deployments. Our detection and tracking algorithms are continuously refined based on real-world performance data.

Why Waypoint Telemetry Is Different

Technical Infrastructure for Recreation Measurement

Waypoint combines computer vision AI, autonomous field sensors, and real-time telemetry infrastructure to deliver research-grade recreation data—eliminating the limitations of traditional infrared counters.

Computer Vision AI Models

Our proprietary computer vision pipeline detects, tracks, and classifies trail users—automatically processing raw imagery into accurate, research-grade datasets.

Multi-frame tracking algorithms suppress duplicates and filter noise, producing defensible counts for planning and grant reporting.

  • Activity classification (walk, run, bike)
  • Duplicate suppression & noise filtering
  • Directional flow analysis

AI-powered accuracy — not simple beam breaks.

AI-powered hiker detection on a trail

Real-Time Telemetry

Our platform leverages in-field devices equipped with cellular connectivity and a scalable cloud infrastructure to deliver near real-time data and analytics.

As data is captured in the field, it's automatically processed and visualized in our platform — giving you up-to-date insights across all sites.

Perfect for:

  • Outdoor recreation monitoring
  • Usage analytics
  • Planning & resource management
Real-time boats per hour analytics dashboard

Autonomous Telemetry Infrastructure

Solar-powered field sensors with integrated cellular connectivity eliminate the need for site visits, SD card retrieval, local WiFi, or battery swaps.

Continuous data collection and transmission enable real-time monitoring across distributed recreation sites—without permanent power or network infrastructure.

  • Deploy in hours, not months
  • Minimal maintenance across seasons
  • Dramatically reduced operational costs

Real-time infrastructure without the infrastructure.

Solar-powered autonomous field sensor

Core Capabilities

Real-time visitor counts

Live monitoring of visitor numbers at key access points

Usage patterns over time

Seasonal and long-term trend analysis

Peak period identification

Data-driven insights into high-traffic windows

Location-based telemetry

Geospatial data collection across multiple sites

Remote autonomous operation

Self-sustaining deployments in off-grid locations

Historical datasets

Longitudinal data for research and planning

How It Works

01

Solar-powered field devices capture activity imagery

Autonomous sensors deployed at trail locations collect visual data continuously

02

AI detection models identify trail users

Computer vision algorithms detect and classify individual users (hikers, cyclists, runners)

03

Tracking algorithms filter duplicates and noise

Multi-frame tracking suppresses false positives and eliminates double-counting

04

Telemetry is transmitted via cellular network

Processed detections and metadata are sent to the cloud platform in real time

05

Clean datasets power real-time dashboards

Analytics platform produces live metrics, trends, and research-grade exports

Field Deployments

Active Recreation Monitoring Sites

Waypoint systems are currently deployed in active recreation environments, collecting real-time data to validate our detection accuracy and support land management decisions.

Hyland Lake Park Reserve

Multimodal trail monitoring across multiple recreation areas within a regional park system

Bloomington, Minnesota

Lake Girard Trail System

Activity monitoring on popular trail networks and water access points

Montana

Early deployments in progress. These installations are actively collecting data to refine our detection models and validate system performance in real-world conditions.

Hardware Concept

Our field telemetry units are rugged autonomous sensors engineered for remote outdoor deployment—combining integrated solar power systems with cellular connectivity for continuous, maintenance-free operation.

Rugged autonomous field sensor with solar panel and cellular connectivity

Autonomous Field Sensor

Rugged outdoor sensing units equipped with integrated solar panels for sustained power and cellular modems for real-time data transmission—enabling autonomous deployment in remote locations without manual retrieval or site visits.

Weatherproof laminated info tag with QR code for public information

Public Information Tag

Every installation includes a weatherproof laminated info sheet mounted near the unit, providing the public with details about the device, its purpose, and how to learn more or report concerns via a simple QR code scan.

Weather resistant

Engineered for year-round outdoor deployment in harsh conditions

Solar powered

Self-sustaining energy system for remote, off-grid locations

Autonomous operation

Minimal maintenance requirements with remote monitoring

Current Status

Pilot Deployments & Research Phase

Waypoint Telemetry is currently in pilot deployments and research phases, working with early partners to evaluate data quality, applications, and long-term potential. This is an early-stage initiative focused on learning and collaboration.

Interested in collaborating?

We welcome conversations with land managers, conservation organizations, government agencies, and research partners interested in exploring pilot programs or learning more about the initiative.