Predictive Maintenance ve Anomaly Detection AI
Yapay zeka artık bulutta değil, edge’de çalışıyor. Advantech Edge AI sistemleri predictive maintenance ai için optimize edilmiş güçlü hesaplama platformları sunar. GPU, NPU accelerator’lar real-time inference, düşük latency, data privacy sağlar. Fabrika otomasyonu, autonomous systems, video analytics uygulamalarında AI’yı sahaya taşır.
Edge AI’ın Avantajları
Cloud AI: Latency 50-500ms, bandwidth costly, privacy concern, internet bağımlılık. Edge AI: Latency <10ms, offline çalışma, data local kalır, bandwidth optimize. Real-time decision critical uygulamalarda (autonomous vehicle, robotics, quality inspection) edge zorunludur. ISAC’ın partnerliğini yaptığı Advantech sistemler industrial-grade edge AI sağlar.
GPU vs NPU vs CPU AI Processing
CPU: Genel amaçlı, sequential processing, AI için yavaş. GPU: Parallel processing, 1000+ CUDA cores, training+inference. NPU: AI-specific silicon, ultra low power, inference optimized. Advantech MIC-780: CPU (24 cores) + GPU (Intel Arc) + NPU = 180 TOPS total AI performance.
Advantech Edge AI Ürün Portföyü
MIC-780: Intel Core Ultra Arrow Lake-S, built-in NPU, 36 TOPS. MIC-770: Modular iModule, NVIDIA L4 GPU support, 8th Gen Core i. UNO-258: Compact AI box PC, Intel Core Ultra Series 3, 180 TOPS. MIC-75G30: Dual GPU expansion iModule, small server capability. EAI-1961: DEEPX DX-M1 NPU, 25 TOPS, M.2 form factor.
AI Framework ve Software Desteği
TensorFlow, PyTorch, ONNX Runtime mainstream frameworks desteklenir. Intel OpenVINO toolkit CPU/iGPU optimization. NVIDIA TensorRT GPU inference acceleration. Hailo SDK Hailo-8 NPU integration. Advantech Edge AI SDK: GenAI Studio, Inference Kit, Orchestration Platform end-to-end development streamline eder.
Machine Vision Uygulamaları
Defect detection: PCB inspection, semiconductor wafer, surface quality. Object classification: Part sorting, product identification. OCR: Serial number reading, label verification. Measurement: Dimension check, alignment verification. AI models (YOLO, ResNet, EfficientDet) real-time inference edge’de çalışır.
Autonomous Systems ve Robotics
AGV/AMR path planning, obstacle avoidance LiDAR + camera sensor fusion AI. Robot vision pick-and-place, bin picking deep learning. SLAM (Simultaneous Localization and Mapping) autonomous navigation. Multi-sensor data fusion (camera, radar, ultrasonic) decision-making optimize eder.
Video Analytics ve Surveillance
Object detection: Person, vehicle, animal classification. Behavior analysis: Loitering, crowd counting, intrusion detection. Face recognition: Access control, VIP identification. Traffic monitoring: Vehicle counting, speed estimation, license plate recognition. Edge processing privacy preserve eder, bandwidth save eder.
Predictive Maintenance ve Anomaly Detection
Vibration analysis: Motor, bearing fault prediction. Thermal imaging: Hotspot detection, thermal anomaly. Acoustic monitoring: Abnormal sound detection. Time-series analysis: Sensor data pattern recognition. AI models trend learn eder, failure predict eder, downtime minimize eder.
GenAI ve LLM Edge Deployment
On-premise AI chatbot: Data privacy, offline availability. RAG (Retrieval Augmented Generation): Document Q&A, knowledge base. Fine-tuning: Custom domain LLM (Llama, Mistral, Qwen). Speech-to-Text, Text-to-Speech: Voice interface. Advantech GenAI Studio user-friendly LLM deployment platform.
Sıkça Sorulan Sorular (FAQ)
1. GPU gerekli mi yoksa NPU yeterli mi?
Vision, deep learning → GPU güçlü. Simple inference, low power → NPU yeterli. Hybrid (MIC-780) her ikisi de optimal.
2. MIC-780 kaç TOPS AI performance?
CPU: ~4 TOPS, GPU (Arc): ~140 TOPS, NPU: 36 TOPS. Total ~180 TOPS platform AI computing.
3. TensorFlow modeli Advantech’te çalışır mı?
Evet, TensorFlow Lite, ONNX convert ile. Inference Kit evaluate eder, optimize eder.
4. NVIDIA L4 GPU MIC-770’e nasıl takılır?
MIC-75M20 iModule expansion PCIe slot sağlar. L4 (72W, single-slot) plug-and-play.
5. Hailo-8 NPU nedir?
26 TOPS, 2.5W ultra-efficient AI accelerator. M.2 form factor, vision AI optimize. Advantech EAI-Hailo module.
6. Edge AI model training yapılır mı?
Hayır, edge inference için. Training cloud/workstation’da, inference edge’de deploy edilir.
7. UNO-258 kaç kamera destekler?
USB3 Vision, GigE Vision 4-8 camera simultaneous. Vision frame grabber ile daha fazla possible.
8. GenAI Studio LLM hangi modelleri destekler?
Llama 2/3, Code Llama, Mistral, Qwen, Phi open-source LLMs. Fine-tuning ve deployment.
9. Edge AI güvenlik özellikleri?
TPM 2.0 hardware security. Secure boot, data encryption. Local processing data privacy guarantee.
10. ISAC Edge AI projelerinde destek veriyor mu?
Evet, ISAC AI engineers model selection, hardware sizing, deployment, optimization konusunda danışmanlık sağlar.
ISAC, Türkiye’de Advantech Edge AI çözümlerinin yetkili partneri olarak MIC-780, MIC-770, UNO-258, MIC-75G30 ve EAI serisi ile AI projelerinizde yanınızdayız.
