CN
LEEM·Guard
LEEM·Guard
Based on the advantages of AI vi≥→ sual algorithm, a series of iβφ∞ ndustry algorithms are introdα★♣₹uced to realize the comprehensive super≈₽vision and control of "safe↑πγty, quality, environment and eff₩ ​iciency" in the constructio☆λ≤n process.
  • Worksurface progress recognition
    Worksurface progress recognition
    AI recognizes the proc✔≤ess steps in the operation ar¥♠ea, automatically analyzes the construcΩπtion progress, and realizes the dyn≥λ>amic control of the project progressπ÷Ω‌.
  • Safety helmet wear recognition
    Safety helmet wear recognition
    Recognize whether the wor>✘★kers wear safety helmets, a♣©nd at the same time,∞' the on-site acousto-op÷λ↕tic alarm horn can remind worke₽≠§rs to put safety helmets on.
  • Reflect vest recognition
    Reflect vest recognitiα✘←₽on
    Recognize whether th★•←e workers are wearing refl"↕ect vest, and at the same time, tα÷¥ he sound and light alarm horn will give±¥↔ a voice prompt to wearλ λ± reflect vest.
  • Fire recognition
    Fire recognition
    Effectively recognize ‍¥↔εthe fire point in the c•<✔¶onstruction site, the system gener★φ∑ates alarm information, and at the ≥✘π®same time, the sound and lighγ©t alarm horn will give a v↕₹•¶oice warning on the spot.&₩≈<
  • Elevator number recognition
    Elevator number recognition
    Recognize the number ofε∏ workers in the elevator. When ♠≥the number of workers exceeds the l↑&γ←imit, the acousto-optic alarm horn wi∑σ'll give an alarm prompt, and at the saφ ≠↑me time capture the picture and s×βend it to the platform.
  • Bare soil cover recognition
    Bare soil cover recognition
    Real-time monitoring ♦¥→<is carried out on the exposed 'π∑≤loess covering state of the construc₹±tion site, and data such as co∑±∏verage rate are returned to &¥the platform end.
  • Unwashed dirt truck recognition
    Unwashed dirt truck recogΩ¶≈πnition
    Recognize muckdirt trucks movi γ​ng throughmoving through >★the entrance and exit of the constructi®€on site and capture whether  ​÷to wash them; The al≠φgorithm can automatically realize♦♦∏ the manual washing and washing ta"★‌ble, and can also prepare to recogn$≈§ize the work situation at night.
  • Vehicle closed transportation recognition
    Vehicle closed transporta ₹tion recognition
    Real-time monitoring of the ★<↑Ωroof coverage status of dirt vehicα÷↑les moving through the entra✘←δnce and exit of the const∏≠φ'ruction site, and returning picturesα©☆ and other data to the•✔☆ platform.
  • Dripped or spilled dirt truck recognition
    Dripped or spilled dirt↔' truck recognition
    Recognize and detect whether there is d✔÷ σripping mud and bare s↓→oil when vehicles such as conc&≠↓★rete mixer and muck truck drive out ¶∑of the construction site.
  • Danger area recognition
    Danger area recognition
    When a person approaches the designate<≥←d dangerous area, the system will ≤↑automatically recognize it, meanwhilet$ββ←he sound and light alarm ho& ÷±rn will give a voice warni↑•₹ng on the spot.
  • Morning meeting disclosure recognition
    Morning meeting disclosu☆≤re recognition
    Recognize whether the site holds☆​× regular safety meetings on time ₩☆every day, and the vid→​↕εeo of the regular meetings will be aut÷×omatically obtained anΩ®↑d transmitted to the¥ ± platform.
  • Enclosure spray recognition
    Enclosure spray recognit₽§α$ion
    Automatically recognize wh λσ∞ether the sprinkler syste♣₹m installed on the enclosure £★φof the construction site work•ε‌s normally. Return the da"€ta of daily working times to the platfoσ♠​ rm.