When evaluating camera systems for retail security, the question 'is processing done in the cloud or on-premises?' often takes a back seat to cost and ease of setup. But where footage is processed is a decisive variable for privacy, legal compliance and operational continuity. Here is what each architecture actually means in practice.
What happens to footage in a cloud camera system?
- Raw video leaves the store and is processed on external servers, often located abroad.
- If the internet goes down, analysis and alerts stop — even if cameras keep recording.
- Continuous video streaming demands high network bandwidth.
- Processing on foreign servers may trigger additional obligations under Turkey's KVKK data-protection law.
- The round-trip to the cloud adds latency, potentially slowing real-time alerts.
Cloud vs edge at a glance
- Footage location — Cloud: processed on external servers / Edge: the continuous stream stays inside the store.
- Internet dependency — Cloud: analysis and alerts stop if connectivity is lost / Edge: detection continues on-premises if the connection drops (alerts are delivered once it returns).
- Latency — Cloud: network delay is variable / Edge: local processing, latency is minimal.
- Privacy — Cloud: customer footage processed on third-party infrastructure / Edge: all image processing stays within the store.
- KVKK compliance — Cloud: transfer and cross-border processing trigger additional requirements / Edge: the continuous stream stays on-site, compliance burden is significantly reduced.
KVKK and data sovereignty
Turkey's KVKK places strict rules on processing and cross-border transfer of data that may qualify as personal. Camera footage can meet that threshold in certain conditions, bringing processing purpose, retention period and destination country under regulatory scrutiny. BEKÇİ AI significantly reduces this risk: no facial recognition, the continuous video stream stays in the store, and routinely only anonymous event data is transmitted — shrinking the compliance checklist for your legal team.
How BEKÇİ AI works on the edge
BEKÇİ AI connects to your existing IP or RTSP cameras — no new hardware required. All AI analysis runs on an edge device inside the store. What is transmitted to the central system: anonymous event notifications (weapon, fire, suspicious behavior — text data, not video); store analytics metrics (visitor count, queue length, zone interaction — no personal identifiers); plain-language insight reports; and hardware health status. The continuous video stream does not leave your premises; in an incident only the relevant frame is reviewed under access control.
Edge processing keeps footage on your premises, reduces your KVKK compliance burden, keeps working through internet outages and minimises alert latency. BEKÇİ AI is built on this architecture — integrating with your existing cameras, no new hardware needed. Get in touch to discuss it for your store.
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