Foam Detection
Visualize process foaming changes with existing cameras.
ABYSS analyzes footage from reaction tanks, wastewater treatment, DAF units, and fermentation processes to surface candidate indicators such as foam growth, foam spread, abnormal persistence, recurrence, and surface motion.
Foam
Detection
PoC
Video First
24/7
Monitoring
Why Foam Monitoring Fails
Foaming can grow quickly between patrols, and the visual pattern changes with lighting, liquid color, and surface conditions. Conventional sensors often miss the operational context that operators see on camera.
Target Signals
- Foam growth and surface coverage
- Foam spread across tanks or channels
- Abnormal persistence after treatment
- Overflow precursors linked to foaming
How ABYSS Starts
ABYSS compares normal and abnormal video states, then translates visible foam behavior into monitoring rules and AI detection candidates for a first PoC.
Application Scenes
Start from the process where foam creates risk.
Reaction tanks, DAF units, wastewater channels, fermentation vessels, and chemical processes can be validated with existing footage before adding new hardware.
Define the foam pattern
Identify which process, load condition, or chemical input creates problematic foaming.
Validate with video
Use recorded footage to test whether foam area, spread, and persistence can be surfaced as monitoring candidates under current conditions.
Design the alert workflow
Separate early warning, operator review, and urgent response thresholds to match plant operations.
FAQ
Frequently Asked Questions
Can ABYSS start foam detection with existing cameras?
Yes. ABYSS can start from existing cameras or recorded footage after checking the camera angle, lighting, and how foam appears in the scene.
What foam changes can ABYSS monitor?
ABYSS can target foam growth, foam spread, surface coverage, persistence, recurrence after treatment, and overflow precursors visible in camera footage.
Can foam area or persistence become alert conditions?
Yes. Recorded footage can be used to review foam area, spread, persistence, recurrence, and surface-motion changes before designing site-specific alert thresholds.
What should be checked before a foam-detection PoC?
Check camera angle, lighting, reflection, foam-to-liquid contrast, night visibility, lens contamination, and which visual pattern should count as an overflow precursor.
Validate foam detection with your own footage.
Start with existing camera video and confirm which foam indicators are visible before deploying a full monitoring workflow.