Cases and video intake
Each case holds multiple videos, with unit, camera and retention set at creation. Source folders can be read in place, without copying.
The AMAS family
Kaohsiung-born since 2015. Building AI that organisations can verify.
AI ranks what to review; your team makes the call. "Not yet reviewed" is never confused with "reviewed, nothing found" — and every view, review and export is logged.
Works on recorded video, not live alerts. Every final call is made by a person against the original footage.
01 — The problem
For public agencies and their contractors who must review large volumes of recorded video — and want AI to share the load without taking over accountability.
Cameras record all day; reviewers can only sample a fraction of it.
Public bodies need a clear line of accountability: AI can rank, but people must write the conclusion.
"Zero findings" cannot tell "all clear" apart from "never checked".
02 — Capabilities
The platform does the first pass only. It flags time ranges worth a look — never a verdict, and never grounds for a penalty on its own.
Each case holds multiple videos, with unit, camera and retention set at creation. Source folders can be read in place, without copying.
Video, a density timeline and each finding side by side. Every flag needs a person to agree or disagree, and edits never overwrite the original reading.
What you preview is what you deliver. Formal delivery is blocked while any item is unreviewed; exports carry a watermark, disclaimer and audit record.
Checks camera footage against childcare CCTV regulations item by item, and clearly marks what cannot be measured or is not the system's call.
Per-case retention with a 30-day floor, legal hold, cell-level permission changes with a required reason, and every view logged.
Regulations, policies and reviewer experience pass a staged intake with a mandatory human gate. Review conclusions can become reusable knowledge, and search shows which sources were checked.
03 — How it works
Add videos or scan a source folder.
Sampled frames analysed, events graded by duration, time ranges flagged.
Reviewers agree or disagree with each flag and record why.
Export once the quality gate passes; conclusions become knowledge for the next reviewer.
04 — Governance & trust
Video is highly sensitive personal data. The platform records who saw what and who decided what, so the work can withstand scrutiny later.
The output is a list of ranges to review; whether anything happened is decided by a person against the original footage.
Views, reviews, permission changes and exports are recorded, and later alteration can be detected.
Retention is set for each case at creation, with legal hold when needed.
Inference can run on local GPUs or domestic cloud compute. In on-site engagements we keep no copy of the video, and extracted frames are deleted after processing.
05 — Where it stands
The platform is deployed in production and can be demonstrated, and it has completed first-phase on-site review in one public-sector project. Only the childcare review application is live today; the others are labelled below.
There is no self-service trial. Every engagement starts with an assessment of your video sources, storage and review staffing.
Shown with the same three statuses the platform itself displays.
06 — The AMAS family
Each product runs on its own, and each keeps the same rules: clear roles, traceable records, and AI that assists but never decides.
Every answer cited. Every access governed.
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Delivered as a project: we start from your site and footage sources, then assess which triage application and review flow fit.