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Rovr

ROVR TarantulaX Bundle

ROVR TarantulaX Bundle

$149.99 USD
$149.99 USD
Sale Sold out
Shipping calculated at checkout.

What it does:

TarantulaX is an enhanced RTK receiver that, through hardware encryption design, IMU fusion algorithms, and integration with the new generation of ROVR's hand-eye calibration model, can easily boost the user's phone accuracy to 2 cm.

What's included:

✅ TarantulaX
✅ Phone Mount (may vary from image)
✅ 500 ROVR tokens included with purchase (Airdropped at a later date)

Features

✅ IP67 Weatherproof
✅ Positioning Accuracy: ±2 cm

Requirements:

This product needs to be installed on a vehicle.

We Accept

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Understanding Participation Rewards

  • Reward Points ($ROVR) Calculation

    Base Reward

    • TarantulaX: Earn up to 1.6 ROVR per KM.
    • Lightcone: Earn up to 16 ROVR per KM.

    Rewards halve every year.

  •  Data Quality Reward Multiplier

    Contributors to ROVR earn rewards based on the quality and accuracy of their collected data. The better the data—judged by factors like clarity and precision—the higher the score, leading to increased rewards. To learn more, Click here

  • Rovr token launch

    The $ROVR token launched in Q2 2025. It's on the Solana blockchain. You can view its price here: Click here

3D Data for AI training is incredibly scarce

Installation Process

Setting up the TarantulaX Mini takes 30 minutes:
1- Install on your roof or balcony from car sunroof or side of the vehicle.
2- Pair with your smartphone using the ROVR app. Use a phone bracket
3- Start contributing geospatial data and mapping with your phone while earning tokens.

Map using your smartphone

Plug your phone to the ROVR app and the AI software analyses video streams in real-time to detect a wide range of events. Your phone will map the road and send the information to ROVR server's.

HD Mapping and 3D Meta Data for SpatialAI Training

Data is processed by professional data processing companies into highly commercialized data products. These processed datasets are used by data consumers in areas like intelligent driving and spatial AI training.

ROVR Lightcone Max

$2,499.00 USD
$2,499.00 USD
Sale Sold out
Shipping calculated at checkout.
Terms

The Lightcone Max is still in protype and is expected to launch next year. It uses advanced lidar and navigation to collect 3D data, earning ROVR tokens through automatic uploads. Users control it via smartphones, but the device works independently. Rewards depend on data quality and speed (15-140 km/h).

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HD Map Mapping

ROVR will develop a mobile app that uses smartphone cameras for real-time HD map updates. It will reconstruct 3D environments from images and optimize the camera’s settings to account for shifts in position, such as those caused by windshields or phone holders. The app estimates depth for each pixel and aligns collected images with existing HD maps to enhance their accuracy.

🏢🧑‍🤝‍🧑 Company

  • Company Overview

    ROVR works alongside Geodnet to expand decentralized geospatial services. The Lightcone Max upgrade (Q2 2025) will enhance network performance, making ROVR a leader in decentralized mapping solutions.

  • Key Issues

    Data Consistency & Accuracy: Ensuring decentralized contributions maintain high-quality standards across diverse regions.

    Sensor Synchronization: Integrating data from various devices like TarantulaX Mini + smartphones to create unified mapping outputs.

  • Main Challenge

    Network Adoption: Expanding the number of users who install nodes and contribute valuable data.

    Data Quality & Reliability: Ensuring that the decentralized model consistently provides accurate, high-resolution geospatial data.

    Monetization & Token Value: Aligning token incentives with network growth and ensuring sustainable demand for geospatial data.

Meet the team

The team has experience in manufacturing and supply chain. Previous a manufacturing powerhouse with Helium Pisces miner. Yuan also has experience in mapping architect and AI algorithm. He spearheaded the development of China's first mass produced vision-based crowdsourced mapping system.

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