Insights& UpdatesFrom Our Engineering Team

Niraj Sharma · 1 Nov 2025

Automatic number plate recognition is replacing manual gate logs across municipal and commercial parking deployments from Srinagar to Bengaluru. Indian operators need systems that handle regional plate formats, mixed vehicle types, and peak-hour congestion without slowing traffic. Parkadda by Multiplexer Solution delivers production-grade ANPR lanes that integrate barriers, payments, and centralized dashboards for city-scale rollouts.

Avinash Singh · 15 Oct 2025

FASTag is no longer limited to national highways—drivers expect RFID toll experience at parking gates, malls, and municipal lots. Integrating FASTag with parking software demands careful lane orchestration, exception handling for unread tags, and finance-grade reconciliation. This guide walks through hardware handshakes, cloud sync patterns, and how Parkadda maps FASTag events to occupancy and revenue reporting.

Lokesh Singh · 20 Sept 2025

Drivers circling for empty bays waste fuel, congest streets, and abandon malls before they shop—while operators guess utilization from gate counts alone. Ultrasonic, magnetic, and vision-based bay sensors streaming through edge gateways unlock live heat maps, dynamic pricing, and anomaly alerts. Learn how Parkadda turns raw IoT feeds into operator dashboards that work for airports, hospitals, and smart city zones across India.

Vikas Singh · 10 Aug 2025

Smart Srinagar stands as a landmark municipal smart parking program—ANPR lanes, digital payments, boom barriers, and a centralized command center replacing paper tokens across city zones. Multiplexer Solution delivered end-to-end hardware, Parkadda software, operator training, and sustained field support in challenging terrain and climate. This case study documents architecture choices, rollout phases, and lessons for other Indian cities planning similar modernizations.

Niraj Sharma · 5 Jul 2025

Indian license plates break assumptions baked into off-the-shelf OCR: state codes, multi-line commercial formats, legacy styles, and monsoon glare on angled cameras. Pure rule engines excel at speed and interpretability but crumble when fonts and weather vary; deep learning improves recall when trained on local data but demands MLOps discipline. We compare accuracy, latency, cost, and hybrid architectures used in production Parkadda lanes across Multiplexer Solution deployments.

Sanjay Gund · 1 Jun 2025

Parkadda began as reliable RFID gate control for Indian campuses and events—solve barrier uptime first, software second. Years of field deployments across societies, corporates, hospitals, and government programs expanded it into a cloud platform with ANPR, mobile apps, operator portals, payments, and analytics. This is the story of how Multiplexer Solution evolved Parkadda without breaking the uptime promise that early customers still rely on.