manufacturing and industrial operations

Conveyor Spill Detection

A solution for detecting spills and events on a conveyor line with logging, notifications and configurable monitoring zones.

data loop production-ready
01 Data
02 Processing
03 Review
04 Report
API integrations and statuses
Reports PDF, XLS, BI
AI validated on data

task

What had to be solved

Help operators detect line deviations faster and record events in a usable format.

The real project name, client, site, plate numbers, coordinates, internal URLs and identifiers are not disclosed.
Anonymized interface for conveyor spill detection

constraints

What we had to account for

  • dust and difficult lighting
  • continuous stream
  • local processing requirements
  • fine-grained zone setup was required
Project loop
01 video stream analysis
02 zone setup
03 deviation detection
04 event log
05 notifications

implementation

What was built

frame processing

This element is part of the full workflow: from input data to review and result.

trigger rules

This element is part of the full workflow: from input data to review and result.

operator interface

This element is part of the full workflow: from input data to review and result.

event export

This element is part of the full workflow: from input data to review and result.

technical logs

This element is part of the full workflow: from input data to review and result.

result

What the business gets

  • events are recorded automatically
  • the operator sees history and context
  • data can be passed to a control system

reuse

What applies to similar tasks

  • streaming video
  • zone rules
  • notifications
  • operator log

stack

Technologies and approaches

PythonOpenCVONNXDockerlocal processing

next step

Need to solve a similar task?

Describe the data, current workflow, constraints and expected result. We will suggest a safe format for the first validation.