Smarter Banking Video Analytics for ATMs & Branch Operations

Our solution is an AI-driven platform that goes far beyond traditional surveillance. It analyzes video feeds from your existing cameras in real-time to provide actionable intelligence for both security and operations — preventing threats like ATM fraud and unauthorized access while also optimizing customer experience, SOP compliance, and branch efficiency.

No. The Agrex.ai platform is camera-agnostic, meaning it plugs directly into your current CCTV infrastructure, whether IP, analog, or a mix of both. This minimizes upfront costs and allows for rapid, non-disruptive deployment across your entire network.

We have a privacy-by-design approach. Our AI models analyze behaviors and objects, not personal identities. Helmet/mask detection and SOP compliance features do not use facial recognition. All video data is processed and stored with strict access controls and robust encryption to ensure compliance with privacy regulations.

Absolutely. Our platform is modular and highly customizable. We work closely with your team to define and configure specific use cases aligned with your SOPs and security protocols — including custom thresholds for queue times, restricted zone definitions, and compliance requirements.

We view our clients as long-term partners. Support includes comprehensive training for your staff on the web console and mobile app, continuous monitoring, and a dedicated support team to ensure smooth, reliable operation and maximum ROI.

We provide a holistic solution that blends security with operational intelligence. While others may offer a single security feature, Agrex.ai delivers a comprehensive suite of AI modules addressing the full spectrum of challenges faced by modern banks — from ATM tampering to queue management to SOP compliance.

AI video analytics monitors ATM surroundings continuously, detecting suspicious behaviors like card skimmer installation, shoulder surfing, loitering near machines, and physical tampering attempts. The system uses trained deep learning models to identify anomalous hand movements, unusual device attachments, and unauthorized access to ATM hardware — triggering real-time alerts to security teams within seconds of detection.

Banks typically see 200-400% ROI within the first year of deploying AI video analytics. Key savings come from reduced fraud losses (30-50% reduction), lower security staffing costs (40-60% efficiency gain), faster incident response times (from hours to seconds), and regulatory compliance automation. According to industry benchmarks, a mid-sized bank with 100+ branches can save $2-5 million annually through AI-powered surveillance.

Branch video analytics tracks customer flow patterns, wait times, and service interactions to optimize the banking experience. AI identifies peak hours and queue lengths to improve staffing decisions, detects customer frustration signals for proactive service recovery, and maps branch layouts to optimize high-traffic zones. Banks using these insights report 25-35% improvement in customer satisfaction scores and 15-20% reduction in average wait times.

Yes, AI video analytics directly supports RBI compliance mandates for banking security. The system automates surveillance monitoring requirements for ATMs and branches, generates compliance-ready audit trails with timestamped evidence, ensures 24/7 monitoring coverage as mandated by RBI guidelines, and tracks SOP adherence for cash handling and vault access procedures. This reduces manual compliance reporting effort by up to 70%.