Skip to content
LeapWise
Menu

Safety & emergency

Built on the cameras and recorders you already have — no new front-end hardware — adding AI detection, review, alerts and evidence archiving on top.

LIVEPersonNo helmetAlert loggedillustrative

Featured solution

Workplace-safety vision AI

Reuse existing cameras to go from watching footage to real-time detection, automatic warnings and kept evidence

How it works

  1. 1

    Existing cameras

    Reuse recorders and platform

  2. 2

    Edge detection

    Real-time detection and tracking

  3. 3

    Central review

    Model cuts false alarms

  4. 4

    Linked warnings

    Light, sound, projection, push

  5. 5

    Evidence archive

    Traceable and countable

What you get

  • No new front-end hardware; costs stay contained
  • Violations caught in real time, with on-the-spot warnings
  • Every alert has an evidence chain for review and correction

What we deliver

  • Edge devices and central server design
  • Detection rules and alert policy
  • Safety dashboard
  • Extensible to patrol robots

Workplace-safety vision AI

Deliverable

Adds AI on top of existing cameras and recorders — see, judge, act, keep evidence — without replacing front-end hardware.

The problem
Nobody watches the screens all day; violations are caught late with little evidence; a new system costs too much.
Who it's for
Factories, warehouses, industrial parks, construction sites
Delivery
Edge devices plus a central server, deployed privately
What it does
  • Real-time edge detection: forklift speeding and over-height loads, danger-zone entry, missing helmets and more
  • Central model review cuts false alarms and assembles evidence
  • Linked light, sound and projected warnings, with alerts to the person responsible
  • Evidence archive and statistics dashboard; extends to patrol robots

Fire detection and investigation support

Deliverable

Upload scene video, photos, audio and notes; AI spots signs of smoke and fire, builds an evidence timeline and drafts a cited investigation report.

The problem
Scene material is plentiful and mixed in format; organising evidence and writing reports takes too long.
Who it's for
Fire and rescue, emergency management, safety teams at parks and large venues
Delivery
Private deployment, delivered in WeCom, Feishu, DingTalk or on the web
What it does
  • Multimodal upload: video, images, audio, text
  • Smoke and fire detection with an evidence timeline
  • Searches licensed professional sources and cites them
  • Reports must be confirmed by investigators; AI draws no conclusions

Start with a half-day workshop

Your business owner and IT lead join us to pin down 1–3 candidate use cases and their success metrics.

Book a use-case workshop
  1. 1

    Use-case workshop

    Half a day, on site or online

    • Business owner and IT lead attend
    • Map 1–3 candidate use cases and the state of the data
    • Output: use-case list and draft success metrics
  2. 2

    PoC proposal

    Within a week of the workshop

    • Data and system boundaries, evaluation-set design
    • Milestones, commitments on both sides, acceptance bar
    • Output: a PoC proposal ready to sign
  3. 3

    Run the PoC

    2–4 weeks

    • Your real material, in a private or demo environment
    • Weekly check-ins with visible metrics
    • Output: evaluation report and launch plan