Back to Case Studies
Education & Toys
StarGuide
AI Smart Telescope based on ESP32-C3
AI-powered telescope mount that automatically identifies celestial objects and provides guided audio tours.
Tracking Accuracy
30 arcsec
Object Database
120,000
StarGuide
Client
An amateur astronomy products company developing an affordable motorized telescope mount with automatic object finding and tracking capabilities.
Challenge
Building a dual-axis servo control system that can track stars with arc-second precision while running real-time plate solving for object identification, all at a sub-$300 price point.
Product Concept & Architecture
The ESP32-C3 controls dual NEMA 17 stepper motors via TMC2209 silent drivers in a Go-To alt-azimuth mount. An IMX462 low-light camera captures star fields for plate solving.
Engineering Solution
The ESP32-C3 runs a dual-core FreeRTOS application: one core handles precise stepper motor timing, the second manages Wi-Fi, camera capture, and plate solving. The plate solving algorithm extracts star centroids, matches against a 120,000-object star catalog, and identifies the current field of view.
Result
30 arc-second Go-To accuracy. <30 second plate solving time. $289 retail price.
Deep Tech FAQ
What makes the AI Smart Telescope based on ESP32-C3 unique?+
The AI Smart Telescope based on ESP32-C3 leverages custom hardware and edge AI to deliver industry-leading performance and efficiency.
What are the core technical benefits?+
Key benefits include low power consumption, real-time processing, robust connectivity, and a compact form factor tailored for deployment.
Can this architecture be adapted for other use cases?+
Absolutely. The underlying methodology is modular and can be retargeted for various applications with minimal redesign.
Project Profile
Services Delivered
Hardware DesignEmbedded Software
Core Technologies
Wi-Fi/BluetoothComputer VisionRTOS
Silicon & Vendors
EspressifSony
Need similar outcomes?
Let's discuss how ChipTalk can deliver results for your next project.
Tell us about your project.
Fast Response — Initial feedback within 48 hours
Full R&D Lifecycle — From feasibility to mass production
Extensive Experience — 500+ projects across 15 verticals
Rapid MVP Validation — Prototype in as fast as 12 weeks
Portfolio
