SynapSense
Footstep Recognition Platform
Developing edge AI solutions for gait analysis using piezo sensors and spiking neural networks. Currently in the prototyping phase.
Current Tech Stack
We are actively developing and refining these core components in our lab.
Hardware Prototype
ESP32 microcontroller integrated with a 16x16 piezo sensor matrix.
AI Model
Spiking Neural Network research for gait dataset training.
Dashboard
Visualization interface for sensor data streams.
Live Sensor Data View
Simulating the 32x32 pressure grid response in real-time. Move cursor to test sensitivity.
Development Roadmap
Our path from prototype to product.
Hardware MVP
- ESP32 integration
- Piezo array calibration
- Basic data collection
Model R&D
- Gait dataset collection
- SNN architecture tests
- Latency profiling
Pilot Testing
- Site installation
- Real-world data gathering
- System validation
Iteration
- Hardware refinement
- Model optimization
- UX improvements
Launch Prep
- Certification
- Manufacturing partners
- Commercial release
The Team
Building the future of gait analysis, from sensor physics to cloud dashboards.
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.