AI Asset & Manpower Monitoring
Facility management staff at the upcoming Harrison Food Factory face massive scaling challenges. Manually monitoring 10-30 entry points, tracking environmental compliance (PPE, HACCP), and managing delivery logistics across multiple loading bays is highly labor-intensive and prone to human error.
This reliance on manual observation drives up labor costs, causes peak-hour congestion at the loading bays, and increases the risk of unauthorized access or hygiene breaches—leading to high stress for security personnel and operational frustration for tenants.
# CCTV Frame Processing & Alert Logic
import cv2
from AI_Models import detect_ppe, read_license_plate
def process_cctv_stream(frame, camera_zone):
if camera_zone == "LOADING_BAY":
plate_number = read_license_plate(frame)
if plate_number:
log_arrival(plate_number)
return allocate_parking_bay(plate_number)
elif camera_zone == "PRODUCTION_FLOOR":
violations = detect_ppe(frame, required=['helmet', 'gloves'])
if violations:
trigger_dashboard_alert("HACCP Non-Compliance", violations)
return "Monitoring Active"Apr 2026 - Present