We build custom perception pipelines for industrial customers — 3D point-cloud classification, object detection, anti-collision and worker-safety monitoring. Five years of LiDAR engineering in active production sites, packaged as software you can deploy on your own plant.
Wir entwickeln maßgeschneiderte Wahrnehmungs-Pipelines für industrielle Kunden — Punktwolken-Klassifikation, Objekterkennung, Kollisionsvermeidung und Personenschutz. Fünf Jahre LiDAR-Engineering in aktiven Produktionsanlagen, verpackt als Software, die auf Ihrem Werk läuft.
We build custom perception pipelines for industrial customers — 3D point-cloud classification, object detection, anti-collision and worker-safety monitoring. Five years of LiDAR engineering in active production sites, packaged as software you can deploy on your own plant.
We build custom perception pipelines for industrial customers — 3D point-cloud classification, object detection, anti-collision and worker-safety monitoring. Five years of LiDAR engineering in active production sites, packaged as software you can deploy on your own plant.
We build custom perception pipelines for industrial customers — 3D point-cloud classification, object detection, anti-collision and worker-safety monitoring. Five years of LiDAR engineering in active production sites, packaged as software you can deploy on your own plant.
We build custom perception pipelines for industrial customers — 3D point-cloud classification, object detection, anti-collision and worker-safety monitoring. Five years of LiDAR engineering in active production sites, packaged as software you can deploy on your own plant.
Industrial perception AI is software that turns raw 3D point clouds and 2D camera images into machine-readable decisions on a plant floor. We design, build and ship those pipelines for industrial customers — scrap-vs-slag classification, crane and vehicle detection, worker safety in ATEX zones, material-flow optimisation.Industrielle Objekterkennung ist Software, die rohe 3D-Punktwolken und 2D-Kamerabilder in maschinenlesbare Entscheidungen auf der Werksebene umwandelt. Wir entwerfen, bauen und liefern diese Pipelines für industrielle Kunden — Schrott-/Schlacke-Klassifikation, Kran- und Fahrzeugerkennung, Personenschutz in ATEX-Zonen, Materialfluss-Optimierung.Industrial perception AI is software that turns raw 3D point clouds and 2D camera images into machine-readable decisions on a plant floor. We design, build and ship those pipelines for industrial customers — scrap-vs-slag classification, crane and vehicle detection, worker safety in ATEX zones, material-flow optimisation.Industrial perception AI is software that turns raw 3D point clouds and 2D camera images into machine-readable decisions on a plant floor. We design, build and ship those pipelines for industrial customers — scrap-vs-slag classification, crane and vehicle detection, worker safety in ATEX zones, material-flow optimisation.Industrial perception AI is software that turns raw 3D point clouds and 2D camera images into machine-readable decisions on a plant floor. We design, build and ship those pipelines for industrial customers — scrap-vs-slag classification, crane and vehicle detection, worker safety in ATEX zones, material-flow optimisation.Industrial perception AI is software that turns raw 3D point clouds and 2D camera images into machine-readable decisions on a plant floor. We design, build and ship those pipelines for industrial customers — scrap-vs-slag classification, crane and vehicle detection, worker safety in ATEX zones, material-flow optimisation.
We started with one job: measuring stockpiles with LiDAR inside an active mining operation. Five years and forty live installations later, we have a deep toolbox for industrial point-cloud and computer-vision work — Riegl, Livox and Faro on the hardware side; PCL, Open3D, OpenCV and PyTorch on the software side; OPC UA, REST and MQTT into your control system. We bring that toolbox to your data.Angefangen haben wir mit einer einzigen Aufgabe: Halden mit LiDAR im aktiven Bergbaubetrieb zu vermessen. Fünf Jahre und vierzig produktive Installationen später haben wir einen tiefen Werkzeugkasten für industrielle Punktwolken- und Bildverarbeitungs-Arbeit — Riegl, Livox und Faro auf der Hardware-Seite; PCL, Open3D, OpenCV und PyTorch auf der Software-Seite; OPC UA, REST und MQTT in Ihre Leittechnik. Diesen Werkzeugkasten bringen wir an Ihre Daten.We started with one job: measuring stockpiles with LiDAR inside an active mining operation. Five years and forty live installations later, we have a deep toolbox for industrial point-cloud and computer-vision work — Riegl, Livox and Faro on the hardware side; PCL, Open3D, OpenCV and PyTorch on the software side; OPC UA, REST and MQTT into your control system. We bring that toolbox to your data.We started with one job: measuring stockpiles with LiDAR inside an active mining operation. Five years and forty live installations later, we have a deep toolbox for industrial point-cloud and computer-vision work — Riegl, Livox and Faro on the hardware side; PCL, Open3D, OpenCV and PyTorch on the software side; OPC UA, REST and MQTT into your control system. We bring that toolbox to your data.We started with one job: measuring stockpiles with LiDAR inside an active mining operation. Five years and forty live installations later, we have a deep toolbox for industrial point-cloud and computer-vision work — Riegl, Livox and Faro on the hardware side; PCL, Open3D, OpenCV and PyTorch on the software side; OPC UA, REST and MQTT into your control system. We bring that toolbox to your data.We started with one job: measuring stockpiles with LiDAR inside an active mining operation. Five years and forty live installations later, we have a deep toolbox for industrial point-cloud and computer-vision work — Riegl, Livox and Faro on the hardware side; PCL, Open3D, OpenCV and PyTorch on the software side; OPC UA, REST and MQTT into your control system. We bring that toolbox to your data.
We don't sell a generic AI platform. Every engagement starts with a short data audit: what sensors do you have, what does your data look like, what decision are you trying to automate? From there we propose a fixed-scope pipeline — typically 4–12 weeks from contract to live tool. For larger programmes we move into a monthly retainer model with shared road-mapping. Either way you own the code: see our FAQs on IP and hardware reuse for the standard terms.Wir verkaufen keine generische KI-Plattform. Jedes Projekt startet mit einem kurzen Daten-Audit: Welche Sensoren haben Sie, wie sieht Ihre Datenlage aus, welche Entscheidung wollen Sie automatisieren? Daraus entsteht ein fester Projektrahmen — typisch 4–12 Wochen vom Vertrag bis zum produktiven Tool. Für größere Programme wechseln wir in ein monatliches Retainer-Modell mit gemeinsamer Roadmap. In jedem Fall gehört der Code Ihnen: Details zur IP und zur Wiederverwendung Ihrer Hardware stehen in unseren FAQs.We don't sell a generic AI platform. Every engagement starts with a short data audit: what sensors do you have, what does your data look like, what decision are you trying to automate? From there we propose a fixed-scope pipeline — typically 4–12 weeks from contract to live tool. For larger programmes we move into a monthly retainer model with shared road-mapping. Either way you own the code: see our FAQs on IP and hardware reuse for the standard terms.We don't sell a generic AI platform. Every engagement starts with a short data audit: what sensors do you have, what does your data look like, what decision are you trying to automate? From there we propose a fixed-scope pipeline — typically 4–12 weeks from contract to live tool. For larger programmes we move into a monthly retainer model with shared road-mapping. Either way you own the code: see our FAQs on IP and hardware reuse for the standard terms.We don't sell a generic AI platform. Every engagement starts with a short data audit: what sensors do you have, what does your data look like, what decision are you trying to automate? From there we propose a fixed-scope pipeline — typically 4–12 weeks from contract to live tool. For larger programmes we move into a monthly retainer model with shared road-mapping. Either way you own the code: see our FAQs on IP and hardware reuse for the standard terms.We don't sell a generic AI platform. Every engagement starts with a short data audit: what sensors do you have, what does your data look like, what decision are you trying to automate? From there we propose a fixed-scope pipeline — typically 4–12 weeks from contract to live tool. For larger programmes we move into a monthly retainer model with shared road-mapping. Either way you own the code: see our FAQs on IP and hardware reuse for the standard terms.
Production references across salt, sugar, copper, charcoal and minerals. Produktive Referenzen in Salz, Zucker, Kupfer, Holzkohle und Mineralien. Production references across salt, sugar, copper, charcoal and minerals. Production references across salt, sugar, copper, charcoal and minerals. Production references across salt, sugar, copper, charcoal and minerals. Production references across salt, sugar, copper, charcoal and minerals.
Scrap-vs-slag classification on steel-mill yards, ore-grade detection on conveyors, mixed-material search and segmentation on stockpiles. Point-cloud classifiers and 2D vision models trained on your material — not a public benchmark. Schrott-/Schlacke-Klassifikation auf Stahlwerks-Höfen, Erz-Qualitäts-Erkennung auf Förderbändern, Mischmaterial-Suche und -Segmentierung auf Halden. Punktwolken-Klassifikatoren und 2D-Bildmodelle, trainiert auf Ihrem Material — nicht auf einem öffentlichen Benchmark. Scrap-vs-slag classification on steel-mill yards, ore-grade detection on conveyors, mixed-material search and segmentation on stockpiles. Point-cloud classifiers and 2D vision models trained on your material — not a public benchmark. Scrap-vs-slag classification on steel-mill yards, ore-grade detection on conveyors, mixed-material search and segmentation on stockpiles. Point-cloud classifiers and 2D vision models trained on your material — not a public benchmark. Scrap-vs-slag classification on steel-mill yards, ore-grade detection on conveyors, mixed-material search and segmentation on stockpiles. Point-cloud classifiers and 2D vision models trained on your material — not a public benchmark. Scrap-vs-slag classification on steel-mill yards, ore-grade detection on conveyors, mixed-material search and segmentation on stockpiles. Point-cloud classifiers and 2D vision models trained on your material — not a public benchmark.
Crane position + anti-collision in waste bunkers and warehouses, vehicle detection at plant gates and weighbridges, railcar and wagon recognition for loading automation. LiDAR-based, lighting-independent, works in dust. Kran-Position und Anti-Kollision in Müllbunkern und Hallen, Fahrzeugerkennung an Werkstoren und Waagen, Waggon- und Wagen-Identifikation für die Verladeautomatisierung. LiDAR-basiert, lichtunabhängig, staubtauglich. Crane position + anti-collision in waste bunkers and warehouses, vehicle detection at plant gates and weighbridges, railcar and wagon recognition for loading automation. LiDAR-based, lighting-independent, works in dust. Crane position + anti-collision in waste bunkers and warehouses, vehicle detection at plant gates and weighbridges, railcar and wagon recognition for loading automation. LiDAR-based, lighting-independent, works in dust. Crane position + anti-collision in waste bunkers and warehouses, vehicle detection at plant gates and weighbridges, railcar and wagon recognition for loading automation. LiDAR-based, lighting-independent, works in dust. Crane position + anti-collision in waste bunkers and warehouses, vehicle detection at plant gates and weighbridges, railcar and wagon recognition for loading automation. LiDAR-based, lighting-independent, works in dust.
Worker detection inside ATEX zones and around moving plant equipment, safety-distance monitoring on automated cranes and AGVs, hazard-zone clearance checks before a process restart. Auditable event logs included. Personenerkennung in ATEX-Zonen und im Schwenkbereich beweglicher Anlagenteile, Sicherheitsabstand-Überwachung auf automatisierten Kranen und FTS, Räumungskontrolle vor dem Wieder-Anfahren. Auditfähiger Ereignis-Log inklusive. Worker detection inside ATEX zones and around moving plant equipment, safety-distance monitoring on automated cranes and AGVs, hazard-zone clearance checks before a process restart. Auditable event logs included. Worker detection inside ATEX zones and around moving plant equipment, safety-distance monitoring on automated cranes and AGVs, hazard-zone clearance checks before a process restart. Auditable event logs included. Worker detection inside ATEX zones and around moving plant equipment, safety-distance monitoring on automated cranes and AGVs, hazard-zone clearance checks before a process restart. Auditable event logs included. Worker detection inside ATEX zones and around moving plant equipment, safety-distance monitoring on automated cranes and AGVs, hazard-zone clearance checks before a process restart. Auditable event logs included.
No long sales cycles. We scope every engagement around your data — start with a workshop, move to a fixed-scope project, optionally into a long-term retainer. Keine langen Vertriebszyklen. Wir schneiden jedes Projekt um Ihre Daten — Start mit einem Workshop, dann ein Fest-Scope-Projekt, optional ein langfristiger Retainer. No long sales cycles. We scope every engagement around your data — start with a workshop, move to a fixed-scope project, optionally into a long-term retainer. No long sales cycles. We scope every engagement around your data — start with a workshop, move to a fixed-scope project, optionally into a long-term retainer. No long sales cycles. We scope every engagement around your data — start with a workshop, move to a fixed-scope project, optionally into a long-term retainer. No long sales cycles. We scope every engagement around your data — start with a workshop, move to a fixed-scope project, optionally into a long-term retainer.
A 1–3 day on-site or remote workshop. We audit your sensors, your data pipeline and the decision you want to automate, and ship a written feasibility note with a recommended next step. Starting at a few days. Fixed price. Ein 1–3-tägiger Workshop, vor Ort oder remote. Wir auditieren Ihre Sensoren, Ihre Datenpipeline und die zu automatisierende Entscheidung, und liefern eine schriftliche Machbarkeits-Note mit empfohlenem nächsten Schritt. Ab wenigen Tagen. Festpreis. A 1–3 day on-site or remote workshop. We audit your sensors, your data pipeline and the decision you want to automate, and ship a written feasibility note with a recommended next step. Starting at a few days. Fixed price. A 1–3 day on-site or remote workshop. We audit your sensors, your data pipeline and the decision you want to automate, and ship a written feasibility note with a recommended next step. Starting at a few days. Fixed price. A 1–3 day on-site or remote workshop. We audit your sensors, your data pipeline and the decision you want to automate, and ship a written feasibility note with a recommended next step. Starting at a few days. Fixed price. A 1–3 day on-site or remote workshop. We audit your sensors, your data pipeline and the decision you want to automate, and ship a written feasibility note with a recommended next step. Starting at a few days. Fixed price.
A 4–12 week project that delivers a working perception pipeline — data parser, detection/classification algorithm, dashboard or OPC UA integration into your control room. Fixed scope, fixed price, you own the code at handover. Ein 4–12-Wochen-Projekt, das eine fertige Wahrnehmungs-Pipeline liefert — Daten-Parser, Erkennungs-/Klassifikations-Algorithmus, Dashboard oder OPC-UA-Anbindung an Ihre Leittechnik. Fester Scope, Festpreis, Code-Übergabe am Ende. A 4–12 week project that delivers a working perception pipeline — data parser, detection/classification algorithm, dashboard or OPC UA integration into your control room. Fixed scope, fixed price, you own the code at handover. A 4–12 week project that delivers a working perception pipeline — data parser, detection/classification algorithm, dashboard or OPC UA integration into your control room. Fixed scope, fixed price, you own the code at handover. A 4–12 week project that delivers a working perception pipeline — data parser, detection/classification algorithm, dashboard or OPC UA integration into your control room. Fixed scope, fixed price, you own the code at handover. A 4–12 week project that delivers a working perception pipeline — data parser, detection/classification algorithm, dashboard or OPC UA integration into your control room. Fixed scope, fixed price, you own the code at handover.
A monthly retainer for ongoing model retraining, sensor migrations, new use cases and on-call support. The right fit when you want a perception engineering team without hiring one. Quarterly road-mapping. Monatlicher Retainer für laufendes Re-Training, Sensor-Migrationen, neue Anwendungsfälle und On-Call-Support. Passt, wenn Sie ein Perception-Engineering-Team haben wollen, ohne eines einzustellen. Quartalsweise Roadmap. A monthly retainer for ongoing model retraining, sensor migrations, new use cases and on-call support. The right fit when you want a perception engineering team without hiring one. Quarterly road-mapping. A monthly retainer for ongoing model retraining, sensor migrations, new use cases and on-call support. The right fit when you want a perception engineering team without hiring one. Quarterly road-mapping. A monthly retainer for ongoing model retraining, sensor migrations, new use cases and on-call support. The right fit when you want a perception engineering team without hiring one. Quarterly road-mapping. A monthly retainer for ongoing model retraining, sensor migrations, new use cases and on-call support. The right fit when you want a perception engineering team without hiring one. Quarterly road-mapping.
All three tiers include source code, documentation and a written handover — no black boxes, no licence dependence on us. Alle drei Tiers enthalten Quellcode, Dokumentation und schriftliche Übergabe — keine Black Box, keine Lizenz-Abhängigkeit von uns. All three tiers include source code, documentation and a written handover — no black boxes, no licence dependence on us. All three tiers include source code, documentation and a written handover — no black boxes, no licence dependence on us. All three tiers include source code, documentation and a written handover — no black boxes, no licence dependence on us. All three tiers include source code, documentation and a written handover — no black boxes, no licence dependence on us.
Distinguish ferrous scrap from cooled slag on a steel-mill yard, in real time, from a portal-mounted LiDAR + camera pair. Feeds the EAF charging schedule and reduces sorting labour on the yard. Read the deep dive → Eisenschrott in Echtzeit von erkalteter Schlacke trennen — auf dem Stahlwerks-Hof, über ein Portal mit LiDAR und Kamera. Speist die EAF-Chargenplanung und reduziert Sortier-Aufwand auf dem Hof. Zum Use-Case-Deep-Dive → Distinguish ferrous scrap from cooled slag on a steel-mill yard, in real time, from a portal-mounted LiDAR + camera pair. Feeds the EAF charging schedule and reduces sorting labour on the yard. Read the deep dive → Distinguish ferrous scrap from cooled slag on a steel-mill yard, in real time, from a portal-mounted LiDAR + camera pair. Feeds the EAF charging schedule and reduces sorting labour on the yard. Read the deep dive → Distinguish ferrous scrap from cooled slag on a steel-mill yard, in real time, from a portal-mounted LiDAR + camera pair. Feeds the EAF charging schedule and reduces sorting labour on the yard. Read the deep dive → Distinguish ferrous scrap from cooled slag on a steel-mill yard, in real time, from a portal-mounted LiDAR + camera pair. Feeds the EAF charging schedule and reduces sorting labour on the yard. Read the deep dive →
Continuous classification of bulk material on conveyors and at transfer points — feeds blending models, prevents off-spec batches and gives the control room a real material-balance instead of an inferred one. Read the deep dive → Kontinuierliche Klassifikation von Schüttgut auf Förderbändern und Übergaben — speist Mischmodelle, vermeidet Off-Spec-Chargen und gibt der Leitwarte eine echte Materialbilanz statt einer abgeleiteten. Zum Use-Case-Deep-Dive → Continuous classification of bulk material on conveyors and at transfer points — feeds blending models, prevents off-spec batches and gives the control room a real material-balance instead of an inferred one. Read the deep dive → Continuous classification of bulk material on conveyors and at transfer points — feeds blending models, prevents off-spec batches and gives the control room a real material-balance instead of an inferred one. Read the deep dive → Continuous classification of bulk material on conveyors and at transfer points — feeds blending models, prevents off-spec batches and gives the control room a real material-balance instead of an inferred one. Read the deep dive → Continuous classification of bulk material on conveyors and at transfer points — feeds blending models, prevents off-spec batches and gives the control room a real material-balance instead of an inferred one. Read the deep dive →
LiDAR tracks crane bridge, trolley and hook position in a waste bunker or warehouse. Drives anti-collision interlocks, optimises grab routing, integrates with the crane PLC over OPC UA. See OWL EYE® Waste Bunker for a productised version. Read the deep dive → LiDAR verfolgt Brücke, Katze und Greifer im Müllbunker oder in der Halle. Treibt Anti-Kollisions-Verriegelungen, optimiert Greif-Routen, koppelt über OPC UA an die Kran-SPS. Produkt-Version siehe OWL EYE® Müllbunker-Monitoring. Zum Use-Case-Deep-Dive → LiDAR tracks crane bridge, trolley and hook position in a waste bunker or warehouse. Drives anti-collision interlocks, optimises grab routing, integrates with the crane PLC over OPC UA. See OWL EYE® Waste Bunker for a productised version. Read the deep dive → LiDAR tracks crane bridge, trolley and hook position in a waste bunker or warehouse. Drives anti-collision interlocks, optimises grab routing, integrates with the crane PLC over OPC UA. See OWL EYE® Waste Bunker for a productised version. Read the deep dive → LiDAR tracks crane bridge, trolley and hook position in a waste bunker or warehouse. Drives anti-collision interlocks, optimises grab routing, integrates with the crane PLC over OPC UA. See OWL EYE® Waste Bunker for a productised version. Read the deep dive → LiDAR tracks crane bridge, trolley and hook position in a waste bunker or warehouse. Drives anti-collision interlocks, optimises grab routing, integrates with the crane PLC over OPC UA. See OWL EYE® Waste Bunker for a productised version. Read the deep dive →
Truck, loader and forklift recognition at plant gates, in-plant intersections and weighbridges. Drives gate control, traffic-light interlocks and in-plant routing — works at night, in fog and in dust. Read the deep dive → LKW-, Lader- und Stapler-Erkennung an Werkstoren, innerbetrieblichen Kreuzungen und Waagen. Treibt Tor-Steuerung, Ampel-Verriegelungen und innerbetriebliche Wegeführung — funktioniert nachts, im Nebel und im Staub. Zum Use-Case-Deep-Dive → Truck, loader and forklift recognition at plant gates, in-plant intersections and weighbridges. Drives gate control, traffic-light interlocks and in-plant routing — works at night, in fog and in dust. Read the deep dive → Truck, loader and forklift recognition at plant gates, in-plant intersections and weighbridges. Drives gate control, traffic-light interlocks and in-plant routing — works at night, in fog and in dust. Read the deep dive → Truck, loader and forklift recognition at plant gates, in-plant intersections and weighbridges. Drives gate control, traffic-light interlocks and in-plant routing — works at night, in fog and in dust. Read the deep dive → Truck, loader and forklift recognition at plant gates, in-plant intersections and weighbridges. Drives gate control, traffic-light interlocks and in-plant routing — works at night, in fog and in dust. Read the deep dive →
Detect, count and identify railcars at a loading station. Drives automated loading sequences, prevents misroutes and feeds a per-wagon material log into ERP. Read the deep dive → Waggons an einer Verlade-Station erkennen, zählen, identifizieren. Treibt automatisierte Verlade-Sequenzen, verhindert Fehl-Verladungen und speist ein Material-Log pro Waggon ins ERP. Zum Use-Case-Deep-Dive → Detect, count and identify railcars at a loading station. Drives automated loading sequences, prevents misroutes and feeds a per-wagon material log into ERP. Read the deep dive → Detect, count and identify railcars at a loading station. Drives automated loading sequences, prevents misroutes and feeds a per-wagon material log into ERP. Read the deep dive → Detect, count and identify railcars at a loading station. Drives automated loading sequences, prevents misroutes and feeds a per-wagon material log into ERP. Read the deep dive → Detect, count and identify railcars at a loading station. Drives automated loading sequences, prevents misroutes and feeds a per-wagon material log into ERP. Read the deep dive →
Person detection in hazard zones — ATEX areas, swing radius of cranes, conveyor pull-cords. Triggers slowdowns, hard stops or audible warnings. Auditable event log for the safety officer. Read the deep dive → Personenerkennung in Gefahrenbereichen — ATEX-Zonen, Schwenkbereich von Kranen, Reißleinen an Bändern. Löst Drosselungen, Hart-Stopps oder Warnungen aus. Auditfähiger Ereignis-Log für die Sicherheits-Beauftragten. Zum Use-Case-Deep-Dive → Person detection in hazard zones — ATEX areas, swing radius of cranes, conveyor pull-cords. Triggers slowdowns, hard stops or audible warnings. Auditable event log for the safety officer. Read the deep dive → Person detection in hazard zones — ATEX areas, swing radius of cranes, conveyor pull-cords. Triggers slowdowns, hard stops or audible warnings. Auditable event log for the safety officer. Read the deep dive → Person detection in hazard zones — ATEX areas, swing radius of cranes, conveyor pull-cords. Triggers slowdowns, hard stops or audible warnings. Auditable event log for the safety officer. Read the deep dive → Person detection in hazard zones — ATEX areas, swing radius of cranes, conveyor pull-cords. Triggers slowdowns, hard stops or audible warnings. Auditable event log for the safety officer. Read the deep dive →
We keep the stack boring on purpose. Every library on this list has a multi-year track record in industrial production environments. Wir halten den Stack absichtlich langweilig. Jede Bibliothek auf dieser Liste hat einen mehrjährigen Track-Record in industriellen Produktionsumgebungen. We keep the stack boring on purpose. Every library on this list has a multi-year track record in industrial production environments. We keep the stack boring on purpose. Every library on this list has a multi-year track record in industrial production environments. We keep the stack boring on purpose. Every library on this list has a multi-year track record in industrial production environments. We keep the stack boring on purpose. Every library on this list has a multi-year track record in industrial production environments.
Single raw 3D point-cloud scan in, six lid centerpoints plus the wagon number out. Built as a stateless six-stage geometric pipeline (NumPy + scipy) so the core ports cleanly to C++/C# for the final controller. Wrapped in an Electron + Vue 3 + Three.js desktop UI for the plant operators. Scan processed in under two seconds, mean centroid error under five centimetres against hand-labelled ground truth. Ein einziger 3D-Rohscan rein — sechs Deckel-Mittelpunkte plus die Wagennummer raus. Realisiert als zustandslose sechsstufige geometrische Pipeline (NumPy + scipy), damit der Kern sauber nach C++/C# für die finale Steuerung portiert. Verpackt in einer Electron + Vue 3 + Three.js Desktop-Oberfläche für die Anlagenbediener. Scan-Verarbeitung unter zwei Sekunden, mittlerer Mittelpunkt-Fehler unter fünf Zentimeter gegen handgelabelte Ground-Truth. Single raw 3D point-cloud scan in, six lid centerpoints plus the wagon number out. Built as a stateless six-stage geometric pipeline (NumPy + scipy) so the core ports cleanly to C++/C# for the final controller. Wrapped in an Electron + Vue 3 + Three.js desktop UI for the plant operators. Scan processed in under two seconds, mean centroid error under five centimetres against hand-labelled ground truth. Single raw 3D point-cloud scan in, six lid centerpoints plus the wagon number out. Built as a stateless six-stage geometric pipeline (NumPy + scipy) so the core ports cleanly to C++/C# for the final controller. Wrapped in an Electron + Vue 3 + Three.js desktop UI for the plant operators. Scan processed in under two seconds, mean centroid error under five centimetres against hand-labelled ground truth. Single raw 3D point-cloud scan in, six lid centerpoints plus the wagon number out. Built as a stateless six-stage geometric pipeline (NumPy + scipy) so the core ports cleanly to C++/C# for the final controller. Wrapped in an Electron + Vue 3 + Three.js desktop UI for the plant operators. Scan processed in under two seconds, mean centroid error under five centimetres against hand-labelled ground truth. Single raw 3D point-cloud scan in, six lid centerpoints plus the wagon number out. Built as a stateless six-stage geometric pipeline (NumPy + scipy) so the core ports cleanly to C++/C# for the final controller. Wrapped in an Electron + Vue 3 + Three.js desktop UI for the plant operators. Scan processed in under two seconds, mean centroid error under five centimetres against hand-labelled ground truth.
The Electron UI as the plant operator sees it: load a freshly arrived scan, the algorithm classifies the point cloud into ground, wagon body and lid cluster, projects centerpoints and updates the train log. All stateless on the algorithm side — the tracker is a separate state machine. Die Electron-Oberfläche aus Sicht des Anlagenbedieners: einen frisch aufgenommenen Scan laden, der Algorithmus klassifiziert die Punktwolke in Boden, Wagenkasten und Deckel-Cluster, projiziert die Mittelpunkte und aktualisiert das Zug-Log. Algorithmus-seitig vollständig zustandslos — der Tracker ist eine separate State-Machine. The Electron UI as the plant operator sees it: load a freshly arrived scan, the algorithm classifies the point cloud into ground, wagon body and lid cluster, projects centerpoints and updates the train log. All stateless on the algorithm side — the tracker is a separate state machine. The Electron UI as the plant operator sees it: load a freshly arrived scan, the algorithm classifies the point cloud into ground, wagon body and lid cluster, projects centerpoints and updates the train log. All stateless on the algorithm side — the tracker is a separate state machine. The Electron UI as the plant operator sees it: load a freshly arrived scan, the algorithm classifies the point cloud into ground, wagon body and lid cluster, projects centerpoints and updates the train log. All stateless on the algorithm side — the tracker is a separate state machine. The Electron UI as the plant operator sees it: load a freshly arrived scan, the algorithm classifies the point cloud into ground, wagon body and lid cluster, projects centerpoints and updates the train log. All stateless on the algorithm side — the tracker is a separate state machine.
How we scope a projectWie wir ein Projekt zuschneidenHow we scope a projectHow we scope a projectHow we scope a projectHow we scope a project →Sensor setup, sample data, the decision you want to automate — anything you have. We come back within two business days with an honest first assessment and a fixed-price scope for the Discovery workshop. Sensor-Setup, Beispiel-Daten, die zu automatisierende Entscheidung — alles was Sie haben. Wir kommen innerhalb von zwei Werktagen mit einer ehrlichen ersten Einschätzung und einem Festpreis-Angebot für den Discovery-Workshop zurück. Sensor setup, sample data, the decision you want to automate — anything you have. We come back within two business days with an honest first assessment and a fixed-price scope for the Discovery workshop. Sensor setup, sample data, the decision you want to automate — anything you have. We come back within two business days with an honest first assessment and a fixed-price scope for the Discovery workshop. Sensor setup, sample data, the decision you want to automate — anything you have. We come back within two business days with an honest first assessment and a fixed-price scope for the Discovery workshop. Sensor setup, sample data, the decision you want to automate — anything you have. We come back within two business days with an honest first assessment and a fixed-price scope for the Discovery workshop.