An engineer writing tomorrow's technology today.
For more than twenty years I have been trying to close the distance between technology and people. My curiosity began with how systems work; today it continues with how they see and decide.
Years of keeping the infrastructure of large organisations running taught me patience, measurement and simplicity. Now I build tomorrow's software with the same discipline: systems that understand what cameras see, notice when a machine stops, and keep people safe. I test what I learn in the field and share what works here.
Sometimes very hard, sometimes very tiring, and sometimes fun.
CX Teknoloji
Let your cameras stop recording and start deciding.
We turn the IP cameras that factories, warehouses, ports and stores already have into systems that make decisions: for workplace safety, site security, production efficiency, quality inspection and retail analytics. No new cameras, no face recognition, data stays on site.
- 23ready-made solutions
- 8sector packages
- 96.2%counting accuracy
- <40 msdetection per frame
- 24/7continuous monitoring
- 30day pilot
- RTSP stream
- Frame decoding on GPU, 25 fps
- CNN detection + multi-object tracking
- Spatial and temporal rule engine
- Events, metrics, webhooks
Customers · City Lojistik · Emilio · Suwen · Saat & Saat · Turkcell · Gallery Crystal
Awards, trade fairs, interviews
Awards · 2021CIO Awards 2021
Interviews · 2020Nebim V3 data warehouse and business intelligence
Seminars · 2020IT Summit 2018, Haliç Congress Centre
Awards · 2020Technology Captains 2019
Awards · 2020Technology Captains 2019 – video
ITRetail · 2020BThaber interview – ITRetail KVKK event
Trade fairs · 2020EuroShop 2020
Seminars · 2020Fujitsu 2019Latest articles
- Accelerating edge AI models: ONNX, TensorRT and INT8 quantizationArtificial intelligenceExport a PyTorch model to ONNX and speed it up with ONNX Runtime and TensorRT: FP16, INT8 calibration, accuracy loss and p50/p95 latency, with working code.
- AI agents and MCP: architecture, security and a first project for companiesArtificial intelligenceAI agents and MCP explained: connecting them safely to ERP and CRM with least privilege, prompt injection defences, approvals, audit logs and a first project.
- An AI roadmap for CIOs: your first production project in 90 daysLeadershipA first AI production project in 90 days for CIOs: use-case selection matrix, data readiness, build-or-buy, 30-60-90 day plan, metrics, governance and budget.
- Enterprise RAG: how to build an AI assistant that talks to company documentsArtificial intelligenceBuild a RAG assistant that answers from company documents with citations: parsing, chunking, embeddings, pgvector, hybrid search, permissions, evaluation.
- EU AI Act: a practical compliance guide for Turkish companiesArtificial intelligenceWhen does the EU AI Act apply to Turkish companies? Risk classes, GPAI, the timeline after the Digital Omnibus, video analytics and a compliance checklist.
- Real-time object detection with Python and YOLO: RTSP camera to eventComputer visionReal-time detection from an RTSP camera with Python, OpenCV and YOLO: ByteTrack tracking, line counts, zone alerts and JSON events to MQTT, full script.