Case Studies Real world example that transforms products & industries
Patient Monitoring Camera
A US-based healthcare start-up approached us to develop an intelligent patient-monitoring camera capable of identifying patients and nurses, tracking entry/exit events, and providing on-demand real-time audio/video streaming. The client supplied the AI models, while our role was to engineer the complete embedded hardware platform, BSP, camera pipeline, and system integration required for production-grade deployment.
Our Technical Contribution
- Platform & Camera Selection: Chosen NXP i.MX 8M for compute + multimedia pipeline; integrated OmniVision 5MP fixed-focus sensor optimized for indoor clinical environments.
- Hardware Engineering: High-speed multi-layer PCB design with MIPI-CSI, DDR, PMIC, and power-thermal analysis tailored for 24x7 medical-grade operation.
- BSP & Software Bring-up: Customized Linux BSP, sensor drivers, audio stack, streaming pipeline, and an Alpha demo release running on EVK for early AI model evaluation.
- Image Quality & 3A Tuning: Lens calibration, AE/AWB tuning, noise-optimization, and ISP pipeline improvements in collaboration with OmniVision & Third party engineering support.
- System Integration & Validation: Integrated AI entry/exit detection, ensured stable 30fps video, synchronized audio, and long-duration reliability testing for clinical deployment.
Edge AI Box + IoT Gateway
A US-Indian technology company approached us to build a unified Edge AI + IoT Gateway capable of interfacing with industrial equipment, IP cameras, and environmental sensors. The system needed to process data locally, trigger intelligent outcomes, and operate reliably across diverse industrial environments in both India and the United States. Our responsibility included complete hardware design, software development, BSP engineering, application layer, certification, and deployment.
- Hardware Architecture & Interface Design: Multi-interface gateway with industrial protocols (RS485/Modbus, CAN, Ethernet) plus camera & sensor inputs.
- Edge AI Compute Integration: High-performance SoC with GPU/NPU acceleration enabling real-time inference and multi-stream processing.
- BSP Development & Low-level Software: Custom Linux BSP, peripheral drivers, secure boot, and optimized IO paths for deterministic performance.
- Application & Data Pipeline Engineering: Built a modular processing layer for sensor ingestion, camera analytics, local events, and secure cloud sync.
- Compliance & Deployment: Completed FCC & ISED certification, reliability testing, and field deployment across India and the USA.
Results & Impact
- Reduced cloud bandwidth by >70% through on-device inference and local event filtering.
- Enabled millisecond-level alerts for safety and process automation, improving reaction time in critical flows.
- Achieved regulatory clearance (FCC & ISED) and validated reliability for industrial deployment.
Wi-Fi Golf Shot Simulator
A compact Wi-Fi based golf shot simulator that uses a 4-microphone array and I2S-to-PDM conversion to detect swing impact acoustically. Built on ESP32-S3, the system performs ultra-low-latency processing and transmits calculated shot data to a master controller for real-time on-screen simulation.
- Business Scope: Low-cost, portable simulator with accurate acoustic impact detection using ESP32-S3, Wi-Fi 2.4GHz, touch inputs, and Li-ion battery.
- Our Work: Designed hardware, PCB, 4-mic system, DSP firmware, I2S-to-PDM pipeline, Wi-Fi communication, and complete electromechanical prototype.
- Results: Reliable low-latency impact detection, stable wireless data transfer, and a fully portable simulator ready for field use.
Telematics-Based Smart Water Dispenser
A beverage services operator required a secure, card-operated drinking water dispenser that authenticates users via ATM-style RFID cards and dispenses a preset volume immediately after validation. The system also needed comprehensive water-quality and system telemetry (RO status, TDS, temperature), tank level monitoring, flow metering, and reliable LTE-based cloud connectivity - all with strict requirements on responsiveness and real-time behaviour.
Our Technical Contribution
- Low-latency Authentication & Dispense Pipeline: Engineered a sub-100ms end-to-end flow from RFID tap to valve actuation by optimizing the reader interrupt path, prioritising authentication stack, and using deterministic RTOS task scheduling.
- Real-time Sensor Fusion & Control: Concurrent processing of flow pulses, TDS readings, temperature, RO feedback and tank level using multi-threaded firmware with priority based ISR handling to guarantee precise volume dispensing.
- Accurate Volume Metering: Implemented calibrated flow metering with adaptive filtering and temperature compensation to maintain dispensing accuracy across environmental conditions.
- Robust Telematics & Security: Integrated LTE modem (Cat-1/Cat-4) for persistent cloud telemetry, secure MQTT/HTTPS transport, transaction logging, and remote OTA configuration and diagnostics.
- Edge Intelligence: On-device logic for anomaly detection (e.g., sudden TDS spike, flow blockage, low tank) to reduce false alarms and avoid unnecessary cloud round trips.
Results & Impact
- Reduced user wait time by >85% through optimized authentication-to-actuation pipeline.
- Enabled proactive maintenance with telemetry-driven alerts (TDS anomalies, RO faults, low tank), lowering on-site visits.
- Improved operator visibility via usage analytics and remote firmware/parameter updates.
- Robust, scalable platform ready for multi-location rollouts with centralised management and secure transactions.
