As the world grows in social and technological complexity, collecting accurate data for analytics becomes increasingly important. One way of doing this is through video surveillance. Many sectors of the economy, from healthcare to traffic control, have already incorporated CCTV cameras to capture information in real time.

However, analyzing the captured footage remains a human responsibility. Since monitoring screens is cognitively demanding, a supervisor’s attention can deteriorate over time, causing human errors during analysis. Graymatics—a video analytics company with its Indian office in Bengaluru—works on overcoming this “operational blindness.” 

Graymatics not only organizes data from CCTVs but also predicts adverse events using AI and deep learning. Led by founder Abhjith Shanbhag, its innovations have transformed passive surveillance into intelligent systems across Asia, Africa, Europe, Australia, and the Americas.

Helping create Smart Cities

Public spaces in cities often have security and safety challenges, especially in developing countries such as India. CCTVs on roads and junctions play a key role in recording threats and rule violations. With its Smart City/Safe City initiative, Graymatics technology can detect several undesirable events—including traffic accidents or delays, violent altercations between citizens, overcrowding, fires, and suspicious behavior—by running deep learning algorithms on existing video feeds. The resulting analytic data is presented to the appropriate human teams via structured dashboards.

This system has currently been deployed in Lucknow, Srinagar, Jakarta, Phuket, and Santiago. Here, it supports a variety of public service departments, from City Command and Control Center (CCC) operatives to law enforcement, traffic management, women’s safety units, and local municipal bodies. By improving coordination between these civil bodies, it indirectly raises living conditions for citizens.

Facilitating Smart workplaces

In sectors involving intensive manual labor, CCTVs can help ensure both worker wellbeing as well as compliance with business requirements. Aiming to bolster safe industrial operations, Graymatics has launched a Smart Manufacturing platform that particularly benefits factory and warehouse setups. 

This platform uses AI to detect machine defects, safety incidents, equipment failures, adherence to PPE guidelines, and workflow inefficiencies before they become liabilities to enterprises. In addition to reducing workloads for supervisors and managers, it increases safety for workers, reorganizes footage to enable faster quality inspection, and boosts overall productive efficiency for manufacturers—all at a lowered cost.

Graymatics presents similar features in GAIa Intelligence, a system that combines computer vision and AI-based object classification for waste management. Based on visual input, GAIa identifies different categories of waste and generates dynamic dashboards detailing material compositions and contamination alerts over time. Currently partnered with Sembcorp and CORA (Collection and Recycling Operations Asia), it offers heightened transparency, safety, and efficiency in the waste segregation process. Initial deployments in Singapore and Indonesia have demonstrated >25% cost reductions and 90% accuracy in waste segregation. 

Using AI in patient care

Graymatics’s Smart Health initiative raises the standard of patient care in hospitals by reviewing video footage in ICUs, wards, and emergency units. This application analyzes patients’ physical states, from their positions in rooms to their stress levels. The resulting data helps predict patient accidents and distress, as well as sharing insights on nurse/patient ratios, detecting adherence to queuing, and interpreting teleconsultations for later reference. 

Any alerts noted during CCTV analysis are immediately sent to the relevant personnel via SMS, mobile, and dashboard notifications. They may also be shared via automated voice or video calls. This lowers workloads for medical and administrative staff at hospitals by directing their human resources only where they are needed. Hospitals thus save time and expenditure and experience better compliance with hygiene and safety protocols. Meanwhile, patients—especially the elderly, critically ill, and postoperative—benefit from more personalized care. Primary deployments for Smart Health have been made in multispeciality hospitals in Bengaluru, Mumbai, and Delhi. 

Tracking student performance

Ensuring the next generation finds academic success is crucial for national economic development. As evaluation metrics continue to evolve, Graymatics provides educational institutions with a Smart Education system that combines campus surveillance and academic tracking. It draws data from two sources: first, from quizzes, assignments, and other school tests; and second, from CCTV feeds that track classroom behavior and interactions. It also reduces the burden on security staff by flagging intrusions and aggression on campuses. 

The system’s AI-powered analytics allow for the continuous monitoring of all students, predicting student engagement with multiple indicators. With both their aptitude and affect being measured, students can be provided with personalized support, ushering in an adaptive learning environment. This is particularly useful for students who struggle in the classroom. Moreover, to improve communication between teachers, parents, and administrators, the Smart Education system provides a central dashboard with the relevant reports. So far, it has been successfully integrated within 13 countries, with its Indian partners including IIT Madras and IIT Jammu. 

Aiming for wider adoption

Across city management, healthcare, industry, waste processing, and education, Graymatics’s solutions have reduced administrative workload and processing time while enabling predictive action. Further collaborations with local institutions and technology providers can bolster trust and share benefits. Meanwhile, policy-level recognition and financial assistance can encourage their adoption across sectors.