See Some Of The Projects We’ve Worked On
Development for Flagship Product of a Well-Known Brain-Computer Interface (BCI) Company
In this project, Think Circuits ported advanced EEG signal processing algorithms from research Python code to a C implementation on an STM32 target processor.
Research and Development into Novel Wearable/AI interfaces
Architected and implemented a custom wearable research platform capturing electrical bio signals such as EEG, EMG, EKG and PPG. Included implementing real-time firmware using ESP-IDF and appropriate signal capture and analysis in Python.
System Architecture for Wirelessly Charged Carts
For this project, Think Circuits assisted in the formulation of system requirements, architecture design, and component selection to effectively integrate wireless charging capabilities into an indoor cart.
Heating Device Development
Think Circuits designed a novel battery powered heating device for a particular niche use case. The device currently has orders exceeding 1000 units and is garnering significant interest from customers involved in this niche.
Invention of a Novel Automotive Sensor
Using first principles analysis, Think Circuits devised a Proof-of-Concept novel sensing mechanism for vehicles to interact with traffic control devices. To do this, we conducted experiments and used Digital Signal Processing to architect a prototype design.
Automotive Vibration Signal Analysis
Think Circuits was tasked with researching Machine Learning and Signal Processing algorithms to estimate important vehicle vibration parameters that need to be corrected. We advised on experimental design and implemented a powerful Python-based analysis pipeline.
Igniting Innovation: The Combustion Predictive Thermometer
Think Circuits partnered with Combustion, Inc. maker of the widely loved Combustion Predictive Thermometer (CPT) to develop a reimagined physics-based prediction engine. This project required a deep physical understanding of heat transfer along with proprietary software techniques which allowed us to simulate heat transfer on an extremely battery, memory, and compute constrained Cortex-M4 platform.
