Factories Are Spending Lakhs on CCTV—So Why Are Most Cameras Still Just Recording Incidents?
Across Chandigarh, Mohali, Panchkula and the surrounding industrial corridor, manufacturing companies have invested heavily in CCTV surveillance. Large factories may operate dozens or even hundreds of cameras covering production floors, warehouses, entry gates, server rooms, loading areas and plant perimeters. In some industrial facilities, the total surveillance investment—including IP cameras, network switches, storage, NVR infrastructure, cabling and monitoring systems—can run into tens of lakhs of rupees. Yet there is an uncomfortable question that many businesses rarely ask. What is the CCTV system actually doing for the business right now? In a surprising number of organisations, the answer remains simple. It is recording. When an accident occurs, someone checks the footage. When material goes missing, the security team searches the recording. When an unauthorised person enters an area, the incident is often discovered first and CCTV footage is reviewed later. Businesses may have invested ₹20 lakh, ₹30 lakh or even ₹50 lakh in surveillance infrastructure, but the system is still largely operating as a digital witness. It knows what happened. But in most traditional deployments, it does not tell the management team what is happening. That gap is now attracting attention from artificial intelligence and enterprise technology companies. Among the companies attempting to address this problem in North India’s industrial market is Panchkula-based Sidigiqor Technologies, which is positioning AI-powered CCTV monitoring, cybersecurity and enterprise IT infrastructure as interconnected business requirements rather than separate technology purchases. The ₹50 Lakh CCTV Question Nobody in the Boardroom Is Asking Manufacturing companies carefully evaluate production machinery. Management teams ask about machine output, production capacity, maintenance requirements and operational efficiency. Enterprise software is measured through reports and business outcomes. But CCTV infrastructure is often evaluated differently. The number of cameras is counted. Recording capacity is checked. Storage retention is discussed. Camera resolution is compared. The project is installed. Then the surveillance environment moves into maintenance mode. The fundamental question—what operational intelligence are we receiving from these cameras?—is rarely discussed. A manufacturing plant may have 150 cameras and four security personnel monitoring screens. The mathematics itself creates a problem. No human operator can continuously observe 150 live video feeds with equal attention. A worker may enter a production area without required PPE. A person may cross into a restricted zone. Someone may remain near a sensitive location for an unusual period. Smoke may become visible in a distant warehouse section. A forklift may repeatedly move through a high-risk pedestrian area. The cameras may record everything. But unless someone is watching the correct camera at exactly the correct moment, the event may only become important after an incident is reported. This is the limitation AI video analytics is attempting to address. Tricity’s CCTV Problem Is Not a Camera Problem Speak with businesses across Chandigarh, Mohali and Panchkula and a common technology pattern begins to emerge. Companies have cameras. They have firewalls. They have servers. They have network switches. They have internet leased lines. They have cloud subscriptions. The problem is often not the absence of technology. The problem is fragmentation. The CCTV vendor manages cameras. A local IT engineer manages computers. The internet service provider handles connectivity. Another company installed the firewall. The server was configured by someone several years ago. Cloud applications are managed by individual departments. When everything works, the model appears acceptable. When a security incident, infrastructure failure or cybersecurity problem occurs, one question suddenly becomes difficult to answer. Who actually owns the complete technology environment? This infrastructure ownership gap is becoming increasingly important as businesses adopt connected systems. An IP CCTV camera is a network device. A firewall is connected to business-critical infrastructure. Remote access provides a pathway into internal systems. Servers hold operational data. Cloud applications are accessible from multiple locations. The boundaries between physical security, IT infrastructure and cybersecurity are disappearing. Sidigiqor Technologies Is Betting on Integrated Infrastructure Management Sidigiqor Technologies appears to be building its Tricity business strategy around this technology convergence. Rather than positioning itself exclusively as a CCTV company, cybersecurity consultancy or computer AMC provider, the Panchkula-based company is combining AI surveillance, enterprise IT infrastructure and cybersecurity services. The company’s argument is that modern businesses can no longer manage these technologies entirely in isolation. A sophisticated AI CCTV platform deployed on a poorly designed network may experience performance problems. Remote surveillance connected through weak security controls may create unnecessary cybersecurity exposure. A firewall installed without proper policy management may operate as little more than an expensive router. A server may remain functional while carrying outdated access permissions or poorly controlled remote connectivity. According to Sidigiqor Technologies, businesses need to begin looking at infrastructure as a connected ecosystem. CEO Bite “Most businesses we speak with do not necessarily have a technology shortage. They already have cameras, servers, firewalls and networks. The bigger issue is that these systems were purchased at different times from different vendors and nobody is looking at the complete environment. Our focus is to understand how everything is connected, where the operational gaps exist and where technology can actually create business value.” — Sahil Rana, Sidigiqor Technologies The statement highlights a wider problem within the small and mid-sized enterprise technology market. Businesses often buy technology project by project. Infrastructure, however, operates as a system. Can Existing CCTV Cameras Become Intelligent? One of the biggest misconceptions surrounding AI surveillance is that companies must remove their existing cameras and install completely new AI cameras. That is not always the case. Depending on camera compatibility, stream availability, resolution, field of view and network architecture, selected existing IP CCTV cameras may be evaluated for integration with AI video analytics. This can be particularly relevant for companies searching for an AI CCTV monitoring solution for existing cameras in Chandigarh, AI video analytics integration for factories in Mohali, smart CCTV upgrade company in Panchkula, or AI surveillance without replacing existing cameras in Tricity. The first step should be a technical assessment. Which cameras provide usable streams? Are the cameras positioned correctly for the intended analytics? Is the video resolution sufficient? What happens […]