Innovative IoT solutions and technologies we are currently developing and advancing.
Under TÜBİTAK 1707, HEFA Teknoloji is developing a portable device capable of simultaneously monitoring 3 toxic and 1 flammable gas with a software-based compensation algorithm for reliable measurement over a wide temperature range. Configurable electrochemical and pellistor sensor slots, display-based interface, and rechargeable battery operation.
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HEFA Teknoloji is developing an EN 50291-1 compliant, cost-optimised CO detector with electrochemical sensor and staged alarm algorithm. Two power models: 220V AC and 12–24V DC (caravan/boat/off-grid). Battery backup with low-power mode. Currently in EN 50291-1 certification test preparation.
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An 8-zone conventional fire alarm panel with fail-safe firmware architecture is being developed for a client's OEM needs, targeting EN 54-2 and EN 54-4 compliance. STM32-based, with bell and siren monitored outputs, RS485 and USB interfaces, and timestamped event logging.
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An EN 50545-1 compliant CO and NO₂ detection system for closed car parks, featuring a TWA-based three-tier alarm algorithm, 4–20 mA and Modbus RTU outputs, and a fail-safe STM32F4 central panel supporting up to 16 devices. Currently in EN 50545-1 certification test preparation.
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The project develops a low-cost, long-life, and low-power wildfire early warning system using the fusion of multi-band IR photodiodes, thermopile sensors, and gas sensors. The system integrates data preprocessing and machine-learning algorithms and transmits event-based data via LoRaWAN to maximize energy efficiency. The project is at TRL-6 level, and optimization and productization efforts are ongoing.
A gas-based ultraviolet (UV) flame detection system is being developed within the scope of the project. The system features a wide detection angle through its sensor design and can detect small flames up to 150 m even under direct sunlight using the ionization principle. The project is currently at TRL-4, with ongoing optimization studies aimed at enhancing detection performance and completing system integration.
The ElectroSens project aims to develop an integrated sensing system for monitoring and treating nitrate pollution in water sources. The platform incorporates conductive MOF-based electrochemical conversion unit that transform nitrate into environmentally benign nitrogen species, together with a multi-parameter sensor platform capable of detecting amines, chloramines and key water-quality indicators. By combining MOF-based electrochemical conversion, IoT-based sensing technologies and AI-driven data analytics, the system provides a smarter, more efficient and sustainable approach to water purification and nutrient management.
