Vision processing data acquisition system

for condition monitoringfor integrationembedded

Overview
Banalytics provides an edge-first acquisition and operational layer for industrial sensing. It connects cameras, DAQ, sensors and PLCs to your existing processing modules while adding synchronized data flow, buffering, lifecycle control, health monitoring, local storage, dashboards and automation, without embedding your processing IP.

Deployment characteristics

• Runs on customer edge hardware
• Operates in closed or offline networks
• Processing IP remains independent from acquisition and orchestration layers

Data flow and responsibility boundary
Banalytics acquires raw field signals, aligns timestamps, buffers and retains raw measurements locally, and delivers structured data to an independent processing module (C++/CUDA/Python/Java or native process). The platform then receives structured results, events, confidence and health metadata and operationalizes them via lifecycle control, rules, dashboards, historian and remote access.

Field inputs and outputs

• Field inputs: Cameras, DAQ, Sensors, PLCs
• Structured outputs: SCADA, MQTT, REST APIs, AI pipelines

Layers of operation

• L2 (Acquire & synchronize): Connect devices, handle triggers and buffering, align timestamps, retain raw measurements locally
• L3 (Run processing): Deliver data to independent modules and receive results, confidence, events and health via a defined contract
• L4 (Operate deployment): Supervise lifecycle, visualize state, retain history, trigger responses and publish selected outcomes downstream

Integration surface and supported interfaces
Supports standard interfaces and scope adapters for vendor SDKs. Typical patterns include:

• Vision: ONVIF, RTSP, USB, vendor camera SDKs
• Measurement: DAQ, digitizers, serial, custom drivers
• Industrial control: PLCs, Modbus TCP/RTU, MQTT
• Processing & IT: C++, CUDA, Python, Java, native processes, REST, ZeroMQ

Operational gains

• Unified health view: device, process, compute, network and storage state in a single console
• Repeatable lifecycle: consistent start/stop, supervision and recovery of acquisition and processing components
• Local evidence: retain raw data, events, telemetry and history on hardware you control
• Focused automation: convert thresholds and processing results into alerts, captures, commands and API calls
• Remote diagnosis: inspect dashboards, state and event history without on-site desktop sessions
• Controlled integration: publish only required results and metadata to SCADA, historians, MQTT, APIs or AI pipelines

Pilot and adoption path
Recommended phased approach: Phase 1 — define the contract (map devices, data rates, timing, module I/O, health tags, storage, failure modes and network boundaries). Phase 2 — run a focused pilot (connect representative hardware, validate processing exchange, make monitoring visible, test recovery). Phase 3 — harden the deployment (tune lifecycle, retention, permissions, alarms, remote operations and production handover).

Notes
Raw measurement data can remain local; publish only the events, metadata and results required by downstream systems.

Technical specifications

• Product: Banalytics acquisition and operational layers for industrial sensing
• Primary field inputs: Cameras, DAQ, Sensors, PLCs
• Primary outputs: SCADA, MQTT, REST APIs, AI pipelines
• Vision interfaces: ONVIF, RTSP, USB, vendor camera SDKs
• Measurement interfaces: DAQ, digitizers, serial, custom drivers
• Industrial control interfaces: PLC, Modbus TCP/RTU, MQTT
• Processing & integration: C++, CUDA, Python, Java, native processes, REST, ZeroMQ
• Core features: connectivity, buffering, synchronization, local storage, data delivery, lifecycle control, health monitoring, rules, dashboards, historian, remote access
• Deployment model: edge-first, runs on customer edge hardware, supports closed networks
• Operational objectives: unified health visibility, repeatable lifecycle, local evidence retention, focused automation, remote diagnosis, controlled downstream publication
• Pilot approach: define contract → run focused pilot → harden deployment