viAct, a Singapore-based computer vision company, published a case study on August 28, 2026, saying its video analytics cut recorded PPE non-compliances by 41.7% in three months on a hospital project that the contractor Alliad is building in Tiassalé, Côte d’Ivoire. TNGlobal reported the results on September 28. The system handles the safety manager’s routine PPE and exclusion-zone checks, and it ran on cameras Alliad already had on the job.
What it does
On most jobs a safety manager or superintendent checks PPE by walking the site and writing up what they see. viAct’s software takes the live feeds from a site’s existing IP cameras over RTSP, a standard protocol IP cameras use to stream video. A computer vision model, software trained to recognize objects in images, looks at each worker in frame and flags any required item that is missing.
On Alliad’s site the model checked four items: hard hat, vest, safety shoes and gloves. The same feeds flagged entry into restricted zones and signs of fire or smoke. viAct’s product page says alerts can go out by site speaker, SMS, WhatsApp or email, and a dashboard rolls the detections into daily, weekly and monthly reports.
The site had little fixed telecom service, so the cameras reached the analytics over mobile data networks, according to the case study. It describes the system as an addition to Alliad’s existing site supervision, and the safety team decides what to do with each alert.
Evidence so far
| Item | What the companies report | Reported by |
|---|---|---|
| PPE non-compliances | 41.7% fewer in the first three months | viAct and Alliad |
| Danger-zone intrusions | 46.3% fewer over the same period | viAct and Alliad |
| Fire and smoke detection | Running on all connected cameras from day one | viAct and Alliad |
| PPE items checked | 4 (hard hat, vest, safety shoes, gloves) | viAct |
| New cameras added | None | viAct and Alliad |
| Baseline violation counts | Not disclosed | TNGlobal |
| Number of cameras | Not disclosed | TNGlobal |
| Size of the deployment | Not disclosed | TNGlobal |
| Share of alerts that were false | Not reported in any source opened | |
| Independent audit of the results | None disclosed | TNGlobal |
Every result in the table comes from viAct and Alliad. TNGlobal notes that the companies have not disclosed the size of the deployment, the baseline violation counts, the number of cameras or any independent audit.
The baseline deserves the closest look. A 41.7% reduction needs a starting count, and the sources do not say which period supplied it or how it was counted. If it came from the system’s own first weeks, the figure measures how behavior changed once workers knew the cameras were checking. The case study credits the drop to workers and supervisors adjusting to continuous monitoring, and that change is the outcome a PPE program is after. The count still covers only what the cameras can see, so a worker without gloves outside camera view appears in neither number.
These claims have not been measured by anyone outside the two companies:
- PPE non-compliances fell 41.7% in the first three months.
- Danger-zone intrusions fell 46.3% over the same period.
- Fire and smoke detection ran on every connected camera from the first day.
- The pilot gives Alliad a model it can repeat across its 10 to 20 concurrent sites.
viAct’s product page also claims a 92% reduction in PPE non-compliance and related fatalities after deployment, without naming a project or a measurement period.
No source reported a false alert rate. Precision, here the share of alerts that a safety manager confirms as a real violation, decides how much of that person’s day goes to clearing alerts. Lighting and weather affect it too. Our September 27 post on ConSynth-X covered a dataset researchers built to test jobsite camera models in rain, fog and darkness.
How to measure it on your projects
Track the PPE non-compliance rate from a manual walk audit. Divide the number of workers observed missing required PPE by the number of workers observed, and express it per 100 observations. A fixed route and the same observer keep the count independent of the cameras under test.
Capture the baseline before the system goes live:
- Walk the same route at two set times each workday for two weeks, and record observations and violations by PPE item.
- Mark which stretches of the route fall inside camera view.
- Keep walking the route during the pilot, and report in-view and out-of-view rates separately.
For the first month of the pilot, have the safety manager mark each alert as confirmed or false. That gives you a precision figure for your own site, lighting and camera angles.
A first step is to pick one job with cameras already streaming and start the two-week walk audit before you call any vendor.
Availability and cost
viAct says its software connects to existing IP cameras without new hardware and can run in the cloud, on premises or in a hybrid setup. It lists more than 200 detection modules. viAct’s own pages do not publish prices, and the case study does not say how long setup took at Alliad’s site.