Isakhiwo Watch turns periodic smartphone photographs and crack-width sensor readings into a plain-language structural risk assessment that an engineer reviews and approves before a household is told anything.
A hairline crack behind a door frame can be nothing, or it can be the first visible sign of foundation movement. Without regular measurement, residents and officials have no way to tell the difference until the crack is already wide enough to see from across the room.
Width is within the 0.08mm hairline threshold and shows no growth across readings. Logged, not escalated.
Width is growing consistently across readings — a sign of ongoing movement. Escalated for an engineering visit.
Photos are inconsistent in angle or lighting, or sensor readings conflict. The system flags "needs re-photograph" rather than guessing.
In every case, the AI output is a lead for a qualified engineer to investigate — never a certified determination of structural safety.
Every stage below is real in architecture. In this prototype, the imagery and AI outputs are simulated so you can experience the workflow before any hardware is deployed.
Analyses crack imagery from smartphone photographs to measure apparent width, length and orientation.
Tracks how each crack changes across repeated photographs and sensor readings over time.
Converts the change-detection output into a short, human-readable inspection summary.
Reviews historical structural reports for the same housing cluster for precedent.
Produces an illustrative crack-monitoring diagram showing where measurements were taken, explicitly labelled AI-generated.
The mandatory final decision-maker. No household is told a wall is unsafe without their sign-off.
Model identifiers should be verified against each provider's current documentation rather than assumed. This build's AI outputs are simulated to demonstrate the workflow shape, not live model calls. Estimated cost: R1,500–R7,000 per month, per building cluster — a labelled estimate range, not a quote.
The crack is measurably wider than the previous reading. Not yet urgent, but worth a follow-up photograph next week.
This model is simplified for clarity. The real system follows the same shape, with real smartphone photographs and sensors in place of this demonstration.
South Africa has built more than three million subsidised public housing units since 1994, and a large share of them have documented structural defects — some cosmetic, some serious enough to require demolition and rebuilding. Right now, most of that assessment relies on someone noticing a crack and complaining loudly enough.
Residents of Savannah City south of Johannesburg reported cracks wide enough to fit several fingers through, while officials initially classified them as hairline cracks only.
Families in Kuyasa, Khayelitsha described cracks and damp letting in rain and cold within months of moving into new subsidised housing.
A survey of subsidised housing occupants in Kliptown, Soweto found most homes had defects occupants could not repair themselves.
Citing the National Home Builders Registration Council, the piece reports more than 2.6 million of 3 million-plus RDP homes built since 1994 were classified as high-risk, with remediation costs estimated at R58.7 billion.
A Public Protector report referenced in the article recorded thousands of complaints in a single year about subsidised houses with cracked walls and missing foundations.
This section pulls genuinely live weather conditions for each metro from Open-Meteo — a real, free public API — because temperature swings and rainfall are measurable drivers of soil movement and thermal expansion, both of which affect crack growth. Building-level photographs and sensor readings shown elsewhere on this site remain simulated.
Isakhiwo Watch is developed under Anele Dlamini Holdings, a registered South African company building AI-driven structural-safety tools for public housing. Our registration is public record with the Companies and Intellectual Property Commission (CIPC).
Financial year end not on the SARS tax notice provided — insert from your CIPC/AFS records before publishing.
"I grew up around houses where a crack in the wall was just something you learned to live with — nobody had the money or the standing to ask whether it meant something worse. My goal with Isakhiwo Watch is to change that: to put the same kind of monitoring a wealthy property gets in the hands of families in subsidised housing, for free to them and paid for by the people responsible for the building. What we'll do concretely is turn a photo taken on an ordinary phone into evidence an engineer can actually act on, so a family isn't stuck choosing between being ignored and being alarmed. I believe in this because dignity starts with being taken seriously, and a home is the first place that should happen."
Simulate signing in as a structural role to explore the operations centre.