Sensing and metrology systems. Multimodal pipelines. Cameras and DAQ and sensors running simultaneously. C++/CUDA/Python processing under tight latency constraints. Deployment in environments with no or degraded connectivity. Banalytics was designed with these constraints in mind — not as an afterthought.
High-speed cameras, DAQ/digitizers, acoustic chains, waveform data — native integration targets, not bolt-ons.
Synchronized capture of video + waveform + sensor telemetry with timestamps is already implemented and demoable.
Reliable operation in low- or no-connectivity environments. No cloud dependency in the data path.
Raw measurement data stays on your local industrial PC. Your processing module — whether C++, CUDA, or Python — remains an independent code package. Existing acquisition and processing logic stays in place. Banalytics wraps the system operationally, sitting alongside what you've built.
Moving from prototype to pilot means a customer asking for reliability and remote visibility. Adding devices makes failures harder to diagnose. Banalytics provides the operational shell your sensing system needs to survive a real deployment.
The challenge isn't the sensing algorithm. It's making the system operational enough for real deployment.
IP cameras, ONVIF, RTSP, USB, MQTT, Modbus. High-speed cameras via vendor SDKs as part of pilot scoping.
Video + sensor / waveform data + timestamps. Already implemented and demoable in the current architecture.
Raw measurement data stays on your local industrial PC. No forced upload. No cloud dependency in the data path.
External or embedded processing modules. Your code remains independent. Banalytics connects lifecycle, not logic.
Publish results, events, health, and metadata upstream. Connect to SCADA, cloud ML, historian, or your own stack.
Dashboards, event history, and system visibility through any browser. No VPN or remote desktop required.