Retail analytics
People counting, heat maps, queue and conversion measurement. 16 metrics from a single camera stream.
96.2%counting accuracy
Who is Abdulaziz Akyol? 
A leader who puts technology at the centre of the business.
Abdulaziz Akyol is the founder and general manager of CX Teknoloji (GTÜ Technopark, Gebze), a Turkish company building AI, computer-vision and IoT solutions on existing cameras. He was Head of Information Technology at Civil Mağazacılık from 2012 to 2021. COBIT 5, ITIL, PMP and CCNP certified, with 20+ years in enterprise IT. Based in Istanbul, Türkiye.
I have spent more than twenty years in information technology. For ten years I ran the infrastructure, data centre and ERP systems of Civil Mağazacılık, a retailer with hundreds of stores. In 2021 I founded CX Teknoloji: we turn existing cameras into systems that make decisions with AI. From retail analytics to workplace safety, from the production line to warehouse security, we build computer-vision and IoT projects that run in the field in Türkiye and Europe.
Sometimes very hard, sometimes very tiring, and sometimes fun.
20+years in IT
5years in AI & IoT
2CIO awards
22certifications
Venture · since 2021
cxteknoloji.com CX Teknoloji
Let your cameras stop recording and start deciding.
A platform that processes video from existing IP cameras in real time on GPU and turns it into events and metrics with a rule engine. No extra hardware: ONVIF-compliant cameras and one GPU server are enough. No face recognition, anonymous processing, GDPR/KVKK-aligned.
- 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
Workplace safety
Helmet and vest detection, fall detection, zone intrusion, forklift–pedestrian proximity.
24/7continuous monitoring
Manufacturing & logistics
Machine downtime, operator performance, OEE; vehicle safety in warehouses and shipping.
<40 msdetection per frame
Stage
All 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 2019 Writing
All articles Latest articles
- Video analytics on existing cameras: the chain from RTSP stream to event Computer vision How to set up real-time analytics without replacing the IP cameras already in the field: stream intake, GPU frame decoding, detection and tracking, rule engine and event output. A five-link chain that has settled over five years of deployments.
- Edge or cloud? Choosing where to process in computer-vision projects Computer vision Should video be processed on site or sent to the cloud? The decision we reached from the bandwidth arithmetic, latency, data protection and three-year cost, and the exceptions to it.
- Getting people counting to 96%: field calibration notes Computer vision A model that scores 99% in the lab drops to 85% in the field. What closes the gap is not the model but the camera angle, the position of the counting line, night data and the measurement method. Notes kept on the way to 96.2% in stores.
- Data protection and video analytics: building analytics without face recognition Computer vision The five questions a legal team asks in video-analytics projects and the answers we give on the engineering side: where does the video go, what is stored, who has access, is there face recognition, how long is it kept.
- Forklift–pedestrian proximity detection: measurable safety rules in the warehouse Computer vision Measuring the distance between a forklift and a pedestrian with a camera: metres not pixels, a velocity vector not a single frame, graded warnings not an alarm. The engineering behind the rule set we built for a logistics site.
- Combining IoT and camera analytics: MQTT and an event-driven architecture IoT A camera is a sensor, the richest one. When it joins the same event bus as temperature, door contacts and PLC signals, information appears that none of them could produce alone. The event schema, MQTT topic structure and integration lessons we use in the field.