chekdata

chekdata / chek-ego-miner

Public

Crowdsource EGO robot data capture, contribution, and public-safe edge-host bring-up.

ai-agents computer-vision crowdsourcing dataset edge-computing
174
10
69% credibility
Found Apr 22, 2026 at 174 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

CHEK EGO Miner lets everyday people capture first-person perspective videos with phones and computers, contribute to shared datasets, and earn rewards while browsing others' data.

How It Works

1
📱 Discover CHEK EGO Miner

Hear about this fun way to capture your first-person view videos and find the iOS app on TestFlight plus hardware ideas.

2
🛠️ Pick your capture setup

Choose a simple tier like computer plus phone, add a stereo camera for better space sense, or go pro with a dedicated machine.

3
🤖 Get AI buddy help

Chat with friendly AI guides like Claude who walk you through setup one easy step at a time, checking your gear as you go.

4
🎥 Test your first capture

Hit go on a quick video session to make sure your phone view flows smoothly to your computer.

5
☁️ Share your videos

Upload your captured sessions to the shared dataset spot where others can browse and reuse them.

⭐ Earn rewards and explore

Get token rewards for contributing and dive into a huge library of first-person videos from the community.

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Star Growth

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AI-Generated Review

What is chek-ego-miner?

Chek-ego-miner lets you capture first-person ego data from phones or stereo cameras on computers or edge-hosts like Jetson, then contribute sessions to a crowdsourced robot dataset portal. It handles public-safe bring-up with CLI commands like `install`, `doctor`, and `readiness` checks across lite, stereo, and pro tiers, syncing phone vision, VLM inference, and time-sync for SLAM/VLM pipelines. Built in Rust for the core edge-orchestrator with Python CLI helpers, it outputs reusable bundles for download and rewards.

Why is it gaining traction?

Tiered setups make ego data capture accessible without factory hardware, while agent-guided prompts (Codex/Claude) speed troubleshooting. Rust delivers reliable edge-host performance for real-time fusion and upload, standing out from brittle DIY scripts by enforcing public-safe paths and chunked contributions. The 174 stars reflect robotics devs valuing its crowdsource incentives and seamless TestFlight iOS app integration.

Who should use this?

Robotics perception engineers crowdsourcing ego datasets for humanoid training. Edge AI teams bringing up Jetson/Linux hosts for phone-to-robot capture pipelines. Teleop researchers needing quick SLAM/VLM validation with stereo or CSI inputs.

Verdict

Solid pick for ego data workflows if you're okay with early maturity (174 stars, thorough docs/CLI but Jetson-heavy). Credibility score of 0.699999988079071% flags room for broader testing—prototype now, watch for production hardening.

(198 words)

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