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IoT-based material tracking for construction sites. Monitor material delivery, storage conditions, usage, and inventory with sensors, RFID, GPS, and real-time dashboards.
Optimize construction site logistics including material delivery scheduling, crane positioning, storage area allocation, and traffic flow using operations research and simulation.
Deep-dive compliance engine for products targeting or affecting children (COPPA, FERPA, AADC).
Fallback cloud with native support for identity documents
Detectar regiones clonadas dentro del documento — foto pegada sobre otra foto o texto duplicado
Wrapper that integrates multiple facial models (ArcFace, FaceNet, VGG-Face, DeepID)
Generar razones legibles de la decisión para auditoría y revisión manual (LIME/SHAP)
Error Level Analysis (ELA) para detectar manipulación digital del documento por inconsistencias de compresión JPEG
Aggregate and analyze IoT sensor data from construction sites. Collect data from multiple sensor types, detect anomalies, and trigger alerts for safety and quality monitoring.
Apply machine learning for construction project risk assessment. Predict schedule delays, cost overruns, and safety incidents using historical data and project characteristics.
Adjust the embedding to compensate for age difference if the document photo is old
Normalización adaptativa de histograma (CLAHE) para mejorar legibilidad del texto del documento
Umbrales de decisión ajustables sin redeploy, servidos desde caché Redis
Identify device uniquely to detect multiple fraudulent verification attempts
Detectar bordes del documento para validar captura correcta y aplicar corrección de perspectiva
Agrupar peticiones de inferencia en batches cuando la cola supera un umbral
Automated safety compliance verification for construction sites. Check PPE usage, zone access, working at heights regulations, and generate compliance reports using rule-based and ML approaches.
Deep-dive AI Safety, NIST AI RMF, and algorithmic bias compliance engine.
Routing A/B between ML model versions to evaluate improvements in production with FAR/FRR metrics
Detectar artefactos de recompresión típicos de deepfakes y manipulaciones
Standard metric for comparison between normalized facial embeddings
Estimar edad del usuario por el rostro y comparar con fecha de nacimiento del documento
Detectar parpadeo natural midiendo Eye Aspect Ratio (EAR) frame a frame con landmarks faciales
Fallback cloud OCR para casos donde el OCR self-hosted falla