To address these challenges, Mackennas Analytics developed a fully AI-enabled intelligent monitoring system designed for real-time detection, compliance enforcement, and operational optimization.

•The system automatically detects individuals at entry points and identifies face concealment (helmets, masks, caps) along with crowding violations in real time.

To address workforce accountability and operational inefficiencies, Mackennas Analytics developed a fully AI-enabled intelligent attendance application designed for real-time check-ins, compliance enforcement, and workforce optimization.

•The application can only be accessed when the employee is physically present at the assigned site, ensuring strict location validation and eliminating remote or fraudulent check-ins.

An AI-based office activity detection system uses cameras and intelligent algorithms to monitor workplace activity in real time. It can identify whether staff are present or absent, track movement, detect idle time, and ensure operational efficiency. By analyzing visual data, the system helps businesses improve productivity, enhance security, and gain insights into employee engagement without manual supervision.

Retailers face 30–40% inaccuracies in footfall data due to employee inclusion and manual estimation, leading to poor alignment between store traffic and actual revenue.

A fully AI-powered people counting system using advanced video analytics and computer vision to deliver high-precision, real-time customer insights.

Retail stores often face 15–25% customer drop-offs due to unattended customers, as sales staff are not present in proximity—leading to lost sales opportunities and poor in-store experience.

An AI-driven staff monitoring and customer engagement system that ensures real-time visibility of staff presence and proactive customer assistance.