Owen L Brown

I was the VP of software development for Switchmate products. Their products had many quality control issues in the mobile apps (iOS and Android), firmware, and cloud. I was hired to manage the teams and sort out the technical debt that was causing the loss of major retail contracts.

The product ecosystem consisted of home security cameras, window sensors, alarms, automation of lighting and outlets. It involved iOS (Swift), Android apps, embedded firmware, AWS IoT Cloud, DynamoDB, S3 storage, BLE, WiFi, and many other aspects related to the technology.

I also performed as the primary architect of the ecosystem, designing protocols, and communication flow patterns. On many occasions, I wrote Swift and embedded C code to help with the intense deadlines.

Also, I assisted with the planning of the bi-weekly sprints and repository commit examinations.

iOS (iPad) app for monitoring/controlling a large, fully automated agricultural equipment called Bale Band-It. I designed and implemented the app, the interface, the embedded PCB control boards, the embedded firmware and wireless BLE communication protocols along with the electrical system.
The system controls the automation of the equipment's electric-over-hydraulic cylinders and motors. The equipment operates at high speed without requiring user interaction for normal harvesting process.
App Features:
- Provides the user with realtime feedback of equipment's operations and status.
- Logging of GPS locations for harvest analysis with ability to zone calculations into 'fields' and store data for comparison across multiple years.
- Complete maintenance scheduling and alerts system based on equipment usage is available at a touch of a button.
- Full error code system with question/answer troubleshooting view is used to narrow the source of common issues.
- An override remote control view to allow user to manually operated cylinders and motors.
- Performance monitoring graphs and alerts to ensure hydraulic system is properly responding within acceptable parameters.
Note: App graphics were created by a graphics designer.

A swift-based suit of HRV iOS apps for professional analysis of high-stress occupations such as police force units. Single and team setting monitoring during occupational training while gathering real-time data via BLE.

Realtime display of chart graphics, user setup, CSV export, and event logging.

iOS (Swift) app that integrates a chiropractic custom device via BLE (Core Bluetooth). The app uses Core Data for persisting/viewing the usage history in the database. I developed the iOS app and integrated it with their device.

This project is designed to prevent teen drunk driving with parental accountability. There are two apps, one for a parent and another for the teen developed in Swift. There are scheduled breathalyzer tests set up by the parent. The driver app integrates with a BACtrack mobile breathalyzer using BLE and Core Bluetooth framework. Facial recognition (Luxand) is used during the test and a short video is recorded for parental review. Push notifications (APN) tell Guardian app when milestones are missed or failed. The teen is required to test their alcohol level before driving which is enforced by monitoring the teens' movement speed. The apps communicate/synchronize with each other via a remote AWS/MongoDB server.

The BRS100 equipment cleans and disinfects medical equipment, such as gurneys and IV poles, by spraying it with oscillating arms. The machine varies the wash time based on the equipment being washed and the cycle being run. I developed the control system and UI.

User Interface: iOS (Swift) iPad app.

App features: BLE connection to Controller board, real-time feedback of machine operations, control panel view for manually operating electric motors and solenoids, visual indicators of sensors input status, animated UI, twist-to-start/resume button, virtual maintained/momentary/toggle control buttons, parameter settings for cycle settings and alarm timeouts, view displaying real-time input/output status, user login permissions with username/ password, cycle history logging/viewing using Realm database framework, CSV exporting of history, built-in PDF user manual, and supports multiple languages: English and French.

Controller: PCB, PIC32 microcontroller, BLE module, eight digital inputs, 11 digital outputs (motors and solenoids), UART coms, SPI, MRAM, proximity switches, level sensors, outputs driven by fused MOSFETs.
The embedded firmware in C using Microchip's MPLab X with ICD3.
I designed the PCB circuit and layout.