01
Event detection in road concessions
Road concessions operate hundreds of cameras but without real capacity to detect critical events in real time: stopped vehicles in lane, wrong-way driving, pedestrians on...
View implementation →From operational problem to evidence
Implementations explained clearly.
Understand the initial problem, the solution applied and the result measured in a real operating context.
Use case library
Evidence before promises.
Each case links an operational need with the Macrogram products that participate in the solution.
All industriesRoad ConcessionsLogistics & TransportIndustry & ManufacturingHealthcareCommerce & RetailSecurity & Control
02
Vehicle access control with computer vision
Industrial plants and warehouses require strict vehicle access control, but traditional systems (cards, booths) are slow, error-prone and create queues at peak hours with...
View implementation →03
Real-time logistics operations monitoring
Logistics companies need to know where their vehicles are, in what condition, whether they follow planned routes, whether there are detours or unauthorized stops, but the...
View implementation →04
Critical-area and occupancy monitoring in healthcare facilities
Clinics and hospitals need to control access to restricted areas (pharmacy, storage, ICU) and anticipate waiting-room saturation, but manual shift-based monitoring leaves...
View implementation →05
Occupancy and customer-flow analytics in retail
Retail chains lack real visibility of customer flow and per-store occupancy: it is estimated roughly, checkout queues get out of control at peak hours and there is no obj...
View implementation →06
Real-time incident detection for security and control
Facilities with multiple access points (ports, parking lots, plants) rely on manual surveillance that cannot keep up: incidents are detected late, there is no reliable re...
View implementation →How to read a use case
Four questions that make evidence useful.
A convincing story explains the operating context and the limits of what was measured.
01
Context
Where and under what constraints did it happen?
02
Problem
What decision or process was failing?
03
Solution
What changed in technology and operation?
04
Evidence
What result can be verified and repeated?
Build the next case
Turn your operational challenge into a measurable implementation.
We begin by defining the problem, the available evidence and the first result worth measuring.