Scrap metal classification AI
for steel-mill yards. Schrott-Klassifikation KI
für Stahlwerks-Höfe. Scrap metal classification AI
for steel-mill yards. Scrap metal classification AI
for steel-mill yards. Scrap metal classification AI
for steel-mill yards. Scrap metal classification AI
for steel-mill yards. IA de classificação de sucata
para pátios de siderurgia.

Scrap-slag classification AI is a portal-mounted perception pipeline that distinguishes ferrous scrap from cooled slag in real time on a steel-mill yard, using fused LiDAR and camera data to feed the EAF charge-mix planner.Schrott-Klassifikation KI ist eine portal-montierte Wahrnehmungs-Pipeline, die Eisenschrott in Echtzeit auf dem Stahlwerks-Hof von erkalteter Schlacke trennt — mittels Fusion von LiDAR- und Kameradaten — und das Ergebnis direkt in die EAF-Chargenmischung speist.Scrap-slag classification AI is a portal-mounted perception pipeline that distinguishes ferrous scrap from cooled slag in real time on a steel-mill yard, using fused LiDAR and camera data to feed the EAF charge-mix planner.Scrap-slag classification AI is a portal-mounted perception pipeline that distinguishes ferrous scrap from cooled slag in real time on a steel-mill yard, using fused LiDAR and camera data to feed the EAF charge-mix planner.Scrap-slag classification AI is a portal-mounted perception pipeline that distinguishes ferrous scrap from cooled slag in real time on a steel-mill yard, using fused LiDAR and camera data to feed the EAF charge-mix planner.Scrap-slag classification AI is a portal-mounted perception pipeline that distinguishes ferrous scrap from cooled slag in real time on a steel-mill yard, using fused LiDAR and camera data to feed the EAF charge-mix planner.A IA de classificação sucata-escória é um pipeline de percepção montado em pórtico que distingue sucata ferrosa da escória resfriada em tempo real em um pátio de siderurgia, usando dados fundidos de LiDAR e câmera para alimentar o planejador do mix de carga do FEA.

The pain is well-known to every EAF operator: scrap deliveries arrive contaminated with cooled slag, refractory debris, oxidised fines and the occasional non-ferrous lump. When this mix gets graded the wrong way, the charge bucket carries the wrong mass of actual iron — the heat ends up under- or over-charged, the energy balance drifts, fluxes have to be adjusted on the fly, and in the worst case the tap goes off-spec. The cost shows up as wasted electricity per tonne, extra refractory wear, and slag pits that fill faster than the schedule predicted.Den Schmerz kennt jeder EAF-Betreiber: Schrott-Anlieferungen kommen kontaminiert mit erkalteter Schlacke, Feuerfest-Bruch, oxidierten Feinanteilen und gelegentlich nicht-eisenhaltigen Stücken. Wenn diese Mischung falsch eingestuft wird, trägt der Chargenkorb die falsche Eisenmasse — das Heat wird unter- oder überchargiert, die Energiebilanz driftet, Schlackebildner müssen während des Schmelzens nachjustiert werden, und im schlimmsten Fall geht der Abstich Off-Spec. Die Kosten zeigen sich als Mehr-Strom pro Tonne, zusätzlicher Feuerfest-Verschleiß und Schlackegruben, die schneller voll werden als geplant.The pain is well-known to every EAF operator: scrap deliveries arrive contaminated with cooled slag, refractory debris, oxidised fines and the occasional non-ferrous lump. When this mix gets graded the wrong way, the charge bucket carries the wrong mass of actual iron — the heat ends up under- or over-charged, the energy balance drifts, fluxes have to be adjusted on the fly, and in the worst case the tap goes off-spec. The cost shows up as wasted electricity per tonne, extra refractory wear, and slag pits that fill faster than the schedule predicted.The pain is well-known to every EAF operator: scrap deliveries arrive contaminated with cooled slag, refractory debris, oxidised fines and the occasional non-ferrous lump. When this mix gets graded the wrong way, the charge bucket carries the wrong mass of actual iron — the heat ends up under- or over-charged, the energy balance drifts, fluxes have to be adjusted on the fly, and in the worst case the tap goes off-spec. The cost shows up as wasted electricity per tonne, extra refractory wear, and slag pits that fill faster than the schedule predicted.The pain is well-known to every EAF operator: scrap deliveries arrive contaminated with cooled slag, refractory debris, oxidised fines and the occasional non-ferrous lump. When this mix gets graded the wrong way, the charge bucket carries the wrong mass of actual iron — the heat ends up under- or over-charged, the energy balance drifts, fluxes have to be adjusted on the fly, and in the worst case the tap goes off-spec. The cost shows up as wasted electricity per tonne, extra refractory wear, and slag pits that fill faster than the schedule predicted.The pain is well-known to every EAF operator: scrap deliveries arrive contaminated with cooled slag, refractory debris, oxidised fines and the occasional non-ferrous lump. When this mix gets graded the wrong way, the charge bucket carries the wrong mass of actual iron — the heat ends up under- or over-charged, the energy balance drifts, fluxes have to be adjusted on the fly, and in the worst case the tap goes off-spec. The cost shows up as wasted electricity per tonne, extra refractory wear, and slag pits that fill faster than the schedule predicted.A dor é bem conhecida por todo operador de FEA: as entregas de sucata chegam contaminadas com escória resfriada, detritos refratários, finos oxidados e, ocasionalmente, algum bloco não ferroso. Quando essa mistura é graduada da forma errada, a cesta de carga leva a massa errada de ferro real — a corrida acaba com carga insuficiente ou excessiva, o balanço energético desvia, os fluxos precisam ser ajustados de improviso, e, no pior caso, o vazamento sai fora de especificação. O custo aparece como eletricidade desperdiçada por tonelada, desgaste extra de refratário e escorieiras que enchem mais rápido do que o cronograma previu.

Our approach fuses two sensors at the yard entrance. A 3D-LiDAR scans the load geometry as the truck rolls under a portal — bulk density signature, surface texture, void structure. A high-resolution colour camera adds material colour, oxidation tint, and visible refractory or slag signatures. A custom classifier — trained on your scrap categories (shred, bushelling, plate-and-structural, heavy melt, turnings) and your slag types — returns a per-truck breakdown: tonnage estimate per category, slag fraction, contamination flags. The result writes directly into the charge-planner or MES over OPC UA, REST or MQTT.Unser Ansatz fusioniert zwei Sensoren am Hof-Eingang. Ein 3D-LiDAR scannt die Ladegeometrie, während der LKW durchs Portal rollt — Schüttdichte-Signatur, Oberflächentextur, Hohlraum-Struktur. Eine hochauflösende Farbkamera ergänzt Materialfarbe, Oxidations-Ton und sichtbare Schlacke- oder Feuerfest-Signaturen. Ein eigener Klassifikator — trainiert auf Ihren Schrott-Kategorien (Schredder, Bushelling, Schwerschrott, Späne, Plattenschrott) und Ihren Schlacke-Typen — liefert pro LKW eine Aufschlüsselung: geschätzte Tonnage je Kategorie, Schlacke-Anteil, Kontaminations-Flags. Das Ergebnis schreibt direkt in die Chargenplanung oder ins MES — OPC UA, REST oder MQTT.Our approach fuses two sensors at the yard entrance. A 3D-LiDAR scans the load geometry as the truck rolls under a portal — bulk density signature, surface texture, void structure. A high-resolution colour camera adds material colour, oxidation tint, and visible refractory or slag signatures. A custom classifier — trained on your scrap categories (shred, bushelling, plate-and-structural, heavy melt, turnings) and your slag types — returns a per-truck breakdown: tonnage estimate per category, slag fraction, contamination flags. The result writes directly into the charge-planner or MES over OPC UA, REST or MQTT.Our approach fuses two sensors at the yard entrance. A 3D-LiDAR scans the load geometry as the truck rolls under a portal — bulk density signature, surface texture, void structure. A high-resolution colour camera adds material colour, oxidation tint, and visible refractory or slag signatures. A custom classifier — trained on your scrap categories (shred, bushelling, plate-and-structural, heavy melt, turnings) and your slag types — returns a per-truck breakdown: tonnage estimate per category, slag fraction, contamination flags. The result writes directly into the charge-planner or MES over OPC UA, REST or MQTT.Our approach fuses two sensors at the yard entrance. A 3D-LiDAR scans the load geometry as the truck rolls under a portal — bulk density signature, surface texture, void structure. A high-resolution colour camera adds material colour, oxidation tint, and visible refractory or slag signatures. A custom classifier — trained on your scrap categories (shred, bushelling, plate-and-structural, heavy melt, turnings) and your slag types — returns a per-truck breakdown: tonnage estimate per category, slag fraction, contamination flags. The result writes directly into the charge-planner or MES over OPC UA, REST or MQTT.Our approach fuses two sensors at the yard entrance. A 3D-LiDAR scans the load geometry as the truck rolls under a portal — bulk density signature, surface texture, void structure. A high-resolution colour camera adds material colour, oxidation tint, and visible refractory or slag signatures. A custom classifier — trained on your scrap categories (shred, bushelling, plate-and-structural, heavy melt, turnings) and your slag types — returns a per-truck breakdown: tonnage estimate per category, slag fraction, contamination flags. The result writes directly into the charge-planner or MES over OPC UA, REST or MQTT.Nossa abordagem funde dois sensores na entrada do pátio. Um 3D-LiDAR escaneia a geometria da carga enquanto o caminhão passa sob um pórtico — assinatura de densidade a granel, textura de superfície, estrutura de vazios. Uma câmera colorida de alta resolução acrescenta a cor do material, a tonalidade de oxidação e assinaturas visíveis de refratário ou escória. Um classificador customizado — treinado nas suas categorias de sucata (shredded, bushelling, chapas e estruturais, HMS, torneamento) e nos seus tipos de escória — retorna um detalhamento por caminhão: estimativa de tonelagem por categoria, fração de escória, sinalizadores de contaminação. O resultado é gravado diretamente no planejador de carga ou no MES via OPC UA, REST ou MQTT.

This is not an off-the-shelf SaaS. Every steel mill has its own scrap sources, its own slag pit, its own EAF charge model. We treat every engagement as a discovery + fixed-scope build, descending from our hub service Industrial Perception AI. Typically four to twelve weeks from contract to live tool, with the code and the model handed over to you at the end.Das ist kein SaaS von der Stange. Jedes Stahlwerk hat seine eigenen Schrott-Quellen, seine eigene Schlackegrube, sein eigenes EAF-Chargenmodell. Wir behandeln jedes Projekt als Discovery + Festscope-Build, abgeleitet aus unserem Hub-Service Industrielle Objekterkennung. Typisch vier bis zwölf Wochen vom Vertrag bis zum produktiven Tool — Code und Modell gehören Ihnen.This is not an off-the-shelf SaaS. Every steel mill has its own scrap sources, its own slag pit, its own EAF charge model. We treat every engagement as a discovery + fixed-scope build, descending from our hub service Industrial Perception AI. Typically four to twelve weeks from contract to live tool, with the code and the model handed over to you at the end.This is not an off-the-shelf SaaS. Every steel mill has its own scrap sources, its own slag pit, its own EAF charge model. We treat every engagement as a discovery + fixed-scope build, descending from our hub service Industrial Perception AI. Typically four to twelve weeks from contract to live tool, with the code and the model handed over to you at the end.This is not an off-the-shelf SaaS. Every steel mill has its own scrap sources, its own slag pit, its own EAF charge model. We treat every engagement as a discovery + fixed-scope build, descending from our hub service Industrial Perception AI. Typically four to twelve weeks from contract to live tool, with the code and the model handed over to you at the end.This is not an off-the-shelf SaaS. Every steel mill has its own scrap sources, its own slag pit, its own EAF charge model. We treat every engagement as a discovery + fixed-scope build, descending from our hub service Industrial Perception AI. Typically four to twelve weeks from contract to live tool, with the code and the model handed over to you at the end.Isto não é um SaaS de prateleira. Cada usina siderúrgica tem suas próprias fontes de sucata, sua própria escorieira, seu próprio modelo de carga do FEA. Tratamos cada contrato como um build de descoberta + escopo fechado, descendendo do nosso serviço central Industrial Perception AI. Tipicamente quatro a doze semanas do contrato à ferramenta em produção, com o código e o modelo entregues a você no final.

Built by the same team that delivers our LiDAR wagon-detection pipeline — six lid centroids, sub-5 cm error, two-second response. Gebaut von dem Team, das auch unsere LiDAR-Waggon-Erkennung liefert — sechs Deckel-Mittelpunkte, Fehler unter 5 cm, Antwort in zwei Sekunden. Built by the same team that delivers our LiDAR wagon-detection pipeline — six lid centroids, sub-5 cm error, two-second response. Built by the same team that delivers our LiDAR wagon-detection pipeline — six lid centroids, sub-5 cm error, two-second response. Built by the same team that delivers our LiDAR wagon-detection pipeline — six lid centroids, sub-5 cm error, two-second response. Built by the same team that delivers our LiDAR wagon-detection pipeline — six lid centroids, sub-5 cm error, two-second response. Construído pela mesma equipe que entrega nosso pipeline LiDAR de detecção de vagões — seis centroides de tampa, erro abaixo de 5 cm, resposta em dois segundos.