SynapSense
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The world moves, we listen. Transforming ground-borne vibrations into predictive intelligence for security, retail, and healthcare.
Privacy First
Unlike cameras, vibration data is naturally anonymous, ensuring compliance and privacy.
Real-Time Edge AI
SNN algorithms process data locally on the ESP32, reducing latency to milliseconds.
Scalable Mesh
Self-healing sensor arrays that cover large floors without complex cabling.
The Core Challenge
Traditional vibration sensing is highly accurate — but it’s expensive, difficult to deploy, and hard to scale for dense coverage. SynapSense removes this trade-off.
Traditional Sensing
High fidelity. High friction.
- Hardware costs $1000+ per node
- Complex installation & heavy cabling
- Limited scalability for dense grids
SynapSense Framework
Designed for scale.
- Ultra-low-cost piezo arrays
- Edge SNN inference (< 1W)
- Dense, scalable mesh networking
The Framework
We combine novel hardware economics with advanced edge AI to solve the vibration sensing scalability problem.
Low-Cost Hardware
Replacing expensive geophones with scalable piezo arrays.
Time-Frequency Analysis
Robust STFT/Wavelet transforms for signal clarity.
Edge SNNs
Real-time classification with neuromorphic efficiency.
Dense Calibration
Economically feasible high-density sensor grids.
From Idea to Product
We are currently in the R&D Prototyping stage, translating our research into a viable sensing platform.
Inception & Feasibility
From theoretical concept to proof-of-physics.
- Literature review on Piezo-resistive sensors
- Physics simulations of ground waves
- Feasibility study of Edge SNNs
R&D & Prototyping
Building the core technology stack and hardware grid.
- Developed 8x8 Piezo Grid Prototype
- Implemented basic gait classification (87% Lab Acc)
- ESP32 Hardware-Software Interface
Productization Strategy
Transitioning from lab-bench prototype to deployable MVP.
- Custom PCB Design & Miniaturization
- Cloud Dashboard & Real-time WebSockets
- Field Pilots in Controlled Environment
Market Launch
Scaling manufacturing and commercial deployment.
- Mass Manufacturing Partners
- Security & Healthcare API SDK
- Full Commercial Release
Technical Pipeline
Technical Pipeline
Our end-to-end edge AI architecture, optimized for low-power vibration intelligence.
Vibration Capture
High-sensitivity capture using ESP32-integrated 16x16 piezo grid matrices.
Signal Preprocessing
Analog filtering and noise reduction at the hardware level.
Time-Frequency Transform
Converting raw signals into STFT spectrograms for robust feature visibility.
SNN Inference
Spiking Neural Networks process temporal patterns in real-time.
Edge Deployment
Running locally on microcontroller with <50KB memory footprint.
Ready to Deploy?
Experience real-time edge intelligence today.
Sensor Grid Simulation
This visualization represents the raw output of our 32x32 pressure grid. Each point reacts to pressure intensity (simulated here by cursor proximity).
GRID: 32x32
Our Core Team
A multidisciplinary team of engineers bridging the gap between physical vibrations and Machine Intelligence.
Pranshul Mishra
Lead architect designing high-efficiency neural networks for edge deployment.
Mohammad Samir
Embedded systems expert. Specializes in sensor integration and PCB design.
Apurv Mishra
Signal processing specialist. Expert in analog electronics and firmware.
Aditi Pandey
Full-stack developer with expertise in real-time systems and dashboards.
Aditi Dixit
Building robust software infrastructure and data pipelines for sensor streams.
Get In Touch
We are happy to answer your questions. Reach out to us directly regarding pilots, partnerships, or general inquiries.