Fires in scrap storage often occur unexpectedly, with major implications for safety and continuity. Think of hidden batteries in discarded appliances or self-heating in accumulations of scrap metal. Thanks to our smart detection solution, you protect your people, facilities and environment from invisible risks - without suffering from false alarms.
Scrap metal processing carries invisible risks. Discarded appliances or scrap metal may contain hidden lithium-ion batteries. If these become damaged or overheat, a fire can easily occur. Smart detection prevents it from getting to that point.
Hidden batteries
Most common cause of fire in scrap metal Many discarded appliances or vehicles still have lithium-ion batteries hidden in them. These batteries are easily damaged during transport or scrap metal shredding, resulting in short circuits or spontaneous ignition. Our detection solution recognizes these risks in time, even if they are not immediately visible.
Hot spots starting at 65°C
Early detection prevents escalation Metal and other materials can slowly heat up due to buildup, friction or solar loading. Even before smoke occurs, thermal cameras recognize these temperature rises. This allows you to intervene before the situation becomes dangerous and limit damage to installations and personnel.
No false alarms
Reliable detection, without interruptions In industrial environments, smoke is not always a sign of fire. Think dust, steam or exhaust fumes. Thanks to AI algorithms, the system learns to distinguish between real threats and normal conditions. This prevents unnecessary alarms and keeps production running.
Smart hot spot detection prevents damage
Spontaneous fires are becoming more common in the recycling industry, mainly caused by:
Lithium-ion batteries which go unnoticed among the scrap metal
Residual heat from plants or vehicles
Reflection of sunlight on metal parts (solar load)
Traditional detection systems do not sufficiently recognize these situations. As a result, hot spots are often noticed too late or cause unnecessary interruptions.
Smart hot spot detection prevents damage
Our solution combines thermal imaging and visual smoke detection, supported by an AI algorithm that learns from the environment. As a result, we recognize real threats faster - and prevent false alerts.
Key features:
Detection from 65°C - before it becomes critical
AI smoke detection - specifically trained on industrial environments
Our solution combines thermal imaging with AI-guided smoke detection to provide early detection of scalding and fire in scrap material. Thanks to this clever combination, heating, smoke development and hidden hazards - such as batteries in discarded electronics - are quickly recognized, allowing you to intervene in time before a fire occurs
Thermal analysis
Detects hot spots from a surface temperature of 65°C and analyzes the development of the heat source with AI. This filters out false alarms caused by sun reflection or hot exhausts, for example.
Visual smoke detection
An AI-optimized algorithm recognizes smoke development and distinguishes it from dust, exhaust or clouds. This enables detection even before a hot spot is visible.
Automatic calibration
A reference temperature cell (RTC) performs periodic calibration checks to ensure accurate operation.
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