DAMANI Group develops robust industrial sensor solutions for positioning, identification, traceability and machine safety assistance in demanding environments such as steel plants, coke oven machines and continuous casting equipment.
DAMANI Group provides industrial sensor technologies combining positioning systems, RFID-based identification and traceability, and machine safety assistance. Our solutions are designed for steel producers, machine builders and automation integrators operating in demanding industrial environments.
From coke oven machine positioning and oven identification to continuous casting roll traceability and pedestrian detection, DAMANI technologies address industrial applications where precision, reliability and operational safety are essential.
DAMANI Group designs industrial positioning, identification, traceability and safety systems for heavy industry. Our technologies support steel producers, machine builders and automation integrators operating in demanding industrial environments.
The solutions combine technologies adapted to specific industrial applications, from machine positioning in coke oven plants to RFID identification and lifecycle management of continuous casting rolls.
Steel plants and heavy industrial facilities operate under extreme conditions including high temperatures, dust, vibration and mechanical stress. Industrial sensors used in these environments must provide reliable performance while remaining suitable for continuous operation.
Accurate positioning, reliable identification, traceability and real-time operator detection can be critical to safe operations, process reliability and equipment performance.
These requirements are particularly important in coke oven plants, where large moving machines operate in constrained environments with limited visibility and high operator exposure.
TRACKROLL-ID® is an industrial RFID identification system designed for continuous casting roll traceability. The system enables automatic roll identification and lifecycle management in steel plant casting lines.
Reliable roll identification helps steel plants improve maintenance planning, reduce downtime and optimize production efficiency.
VEROLINE® PI is an industrial positioning sensor designed for demanding applications such as coke oven machines, charging cars and pusher machines.
The technology provides reliable machine positioning under high temperature, vibration and dust conditions typical of steel plant operations.
COXTAIR® is a machine safety assistance system for coke oven plants based on real-time intelligent pedestrian detection. It is designed to improve risk zone awareness around moving equipment in harsh industrial environments.
In coke oven plants, operators work in close proximity to machines such as charging cars, pushing machines and coke guide equipment, under conditions of reduced visibility, heat and dust. These situations create significant risks of human-machine interaction.
COXTAIR® detects, localizes and analyzes operator presence without requiring wearable devices, and helps reduce collision risks by providing relevant and actionable alerts.
The system integrates directly into existing machines and control systems, and operates reliably in extreme conditions typical of steel industry environments.
Industrial sensor solutions designed for demanding steel production environments.
RFID roll identification and lifecycle management technologies for casting lines.
Industrial positioning and identification technologies for coke oven machinery.
Industrial sensors integrated into heavy machinery and automation systems.
DAMANI industrial sensor solutions are designed to enhance safety, improve operational accuracy and optimize maintenance strategies in steel plants. By combining positioning sensors, RFID identification and traceability technologies, and machine safety assistance, our systems address critical industrial applications and equipment.
DAMANI sensor technologies are used by major steel producers, industrial engineering companies and equipment manufacturers worldwide.