Post by Slaven Gaspar

Selected R&D Projects — Industrial Embedded, Computer Vision, and IoT Over the past several years, I've contributed to or led three R&D projects that span automotive safety, precision agriculture, and industrial IoT. They share a common technical foundation: embedded firmware (STM32, RTOS), control systems, and — increasingly — cloud-native architectures for remote monitoring and control. The third project, RIS 5G RC, emerged from generalizing the patterns that worked across the first two. 1. Li-Ion Battery Fire Detection — Dafo Vehicle Fire Protection (Sweden) Contributing engineer on the LiIonFire research project — one of the most advanced EU H2020 SME-funded research initiatives addressing thermal incident detection in Li-ion batteries for electric and hybrid heavy commercial vehicles (buses, trucks). My contribution: embedded firmware development on STM32 F417 microcontrollers — real-time monitoring of battery state, early detection algorithms for thermal runaway, and integration with vehicle fire suppression systems. Innovation Label Winner at Busworld Europe 2019. 2. Smart Spraying System for Precision Agriculture Senior automation engineer and system architect for the complete control system of a precision agriculture spraying platform. Instead of continuous spraying, the system uses cameras to detect target plants in real time and triggers selective spraying only where needed — significantly reducing chemical use and environmental impact. My contribution: full control system architecture, embedded firmware (STM32), real-time computer vision integration, mechanical actuator control, and field-deployable platform design. 3. RIS 5G RC — Universal Remote Control Platform Synthesis of patterns learned across the first two projects: a standardized embedded controller platform that decouples engineering from AI, enables remote control and telemetry over 5G/MQTT, and allows AI resources to live off-vehicle in the cloud (better utilization, lower per-unit costs, reasonable ROI). The platform addresses recurring problems I observed in agriculture, automotive safety, and industrial autonomous systems: lack of standards, long ROI times due to underutilized AI hardware on individual machines, and fragmented integration processes. Started as a project at RIS Systems and continues as a Homa Inženjering R&D effort. Stack across these projects: STM32 (F4 series) firmware, RTOS, C/C++, C#/.NET application layer, MQTT, Azure (Functions, Cosmos DB, Service Bus, Event Grid), computer vision pipelines, real-time control systems, 5G remote connectivity. If you're working on similar challenges — embedded control for vehicle safety, precision agriculture automation, or standardized IoT platforms for industrial autonomous systems — happy to compare notes. #IndustrialIoT #EmbeddedSystems #PrecisionAgriculture #EUResearch #STM32