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wifi-sensing-kit

Teach three $10 ESP32-S3 boards to recognise what you're doing from WiFi alone, with your webcam as the teacher

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This is 1 of 140 launches in open-source hardware and maker electronics — see how it stacks up on momentum and crowding →

131 other launches read as similar to this one →

Details

External ID
1413700245
Source
GITHUB
Company
—
Product
wifi-sensing-kit
Website domain
github.com
Launched
Oct. 10, 2026
Cohort
—
Upvotes
132
Upvotes percentile
0.89
Tags
—

Enrichment

Niche
open-source hardware and maker electronics
Vertical
Horizontal
Function
Hardware & robotics
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
activity recognition kit using esp32-s3 wifi sensing and camera supervision
Manually corrected
False

Could you build this?

No This project implements WiFi sensing via Channel State Information (CSI) on ESP32-S3 microcontrollers paired with computer vision for labeling. It requires specialized knowledge in RF signal processing, low-level firmware programming, and cross-modal ML training.

What it would actually take: The architecture comprises ESP32-S3 firmware capturing raw 802.11 CSI packets via ESP-IDF, streaming them over serial/UDP to a host PC running a computer vision pipeline (e.g., MediaPipe or YOLO) for automated ground truth annotation, and training a neural network (e.g., CNN-LSTM) to classify physical human actions. The hard parts are filtering multipath RF noise, handling ESP32 CSI packet loss and phase calibration, and synchronizing camera timestamps with microsecond RF frames. This requires embedded systems, signal processing, and RF engineering expertise.

Competitors

Other products that read as similar to this one — 131 launches clear the similarity bar, closest 8 shown.

Attention rank: #21 of 132 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 329 days after the earliest competitor.

Other launches for this product