Security and operations

Turn selected camera streams into local events.

Use C5 BOX for project-defined RTSP analytics, event filtering and alarm integration after validating stream count, codec, model and latency requirements.

Detailed application directions built around one configurable C5 BOX platform.

RTSP/IP cameras

Video source

Dual Gigabit Ethernet

Networking

MQTT / Webhook / VMS

Event output

6 TOPS NPU

AI engine

Why this application is difficult

Design for the real deployment, not only the demo.

Each page separates the hardware foundation from project-specific software, environmental, security and acceptance requirements.

01

Stream count is not a single number

Codec, bitrate, resolution, frame rate, decoding path and model load all change capacity.

02

Cameras fail in real deployments

Packet loss, restarts, time drift and credential changes need controlled recovery.

03

Raw video is expensive to move

Local event extraction can reduce uplink traffic, storage and cloud processing.

04

Alarm quality matters more than demos

Rules, dwell time, object tracking and human review determine operational usefulness.

Reference architecture

A clear path from source to business outcome.

Interfaces and responsibilities are frozen during feasibility review and verified with the target equipment.

CAMERAS

IP video sources

Defined codec, resolution, bitrate, frame rate and credentials.

NETWORK

Switch and LAN split

Camera-side traffic separated from management traffic.

EDGE ANALYTICS

C5 B0X

Decode, sample, infer, track, apply rules and buffer events.

OPERATIONS

VMS or alarm platform

Events, snapshots, metadata, health and operator workflow.

Detailed capabilities

What the solution must do.

C5 BOX supplies compute and I/O. The complete solution includes project software, configuration, documentation and evidence.

RTSP management

Connect defined streams, monitor health and implement reconnect backoff and credential handling.

Inference scheduling

Allocate decoding and inference resources by stream, model and event priority.

Event rules

Apply zones, dwell time, direction, count or state logic after model output.

Efficient reporting

Send structured metadata and selected snapshots rather than every frame.

System health

Track stream uptime, queue depth, model status, storage and temperature.

Deployment method

Move from requirements to a repeatable rollout.

Use gated engineering steps so that performance, responsibility and support boundaries are visible before production.

01

Camera survey

Record codec, bitrate, frame rate, time source, network and VMS requirements.

02

Load profile

Define a four-stream base case and any eight-stream reduced-FPS case.

03

Rule design

Specify object classes, zones, tracking, dwell time and alarm suppression.

04

Integration

Connect MQTT, Webhook or the target VMS and validate retries and acknowledgements.

05

Stress test

Run 72 hours with stream drops, switch restarts and storage pressure.

PoC and acceptance

Evidence to collect before production.

Acceptance criteria should be written into the PoC plan and measured under representative load and failure conditions.

Video profile

Exact stream count, codec, resolution, bitrate and target FPS.

AI profile

Model, input size, inference frequency and concurrent throughput.

Latency

End-to-end time from camera frame to acknowledged alarm.

Recovery

Reconnect behavior during packet loss, camera reboot and switch restart.

Storage

Buffer sizing, retention, write endurance and full-disk behavior.

Soak test

72-hour stress report with CPU/NPU/memory load and thermal data.

Solution boundary

Do not market an absolute ‘8-channel AI’ capability without a workload-specific report. A valid claim must identify the codec, bitrate, frame sampling, model, input size and environmental conditions.

Recommended starting configuration

C5-BOX

Finalize the SKU only after the interfaces, workload, environment, software scope and certification route are known.

Related applications

Explore adjacent C5 BOX solutions.

Retail edge

Combine local analytics, displays and store peripherals

OEM platform

Move AI software from demo hardware to a repeatable product

EHS and operations

Add a local AI warning layer to safety workflows

Start a project

Share the application, interfaces and acceptance targets.

Include the operating system, camera or device list, quantity, deployment region and target timeline.

For integration and OEM enquiries   
sales@example.com

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