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Architecting High-Throughput Biometric Gate Systems for 12,000 Daily Punches in Pune Campuses

How we configured gRPC stream workers and local SQLite caching to process 12,000 biometric punches across 3 Pune college campuses during 8:30 AM peak arrivals.

SS

Suraj Shegukar

Founder & Chief Executive Officer • InfynoSpark Team

Architecting High-Throughput Biometric Gate Systems for 12,000 Daily Punches in Pune Campuses
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Key Takeaways & Highlights
1

Biometrics

2

gRPC

3

Pune Engineering

4

Edge Hardware

5

InfynoSecure

Managing peak-hour attendance at educational institutions in Pune required moving away from cloud polling HTTP endpoints. When 4,000 students arrive at a single gate within a 20-minute window, standard REST APIs introduce latency bottlenecks.

Our engineering team at InfynoSpark built a hybrid edge architecture. Each biometric turnstile hardware unit runs an embedded Linux daemon connected via gRPC streaming to a local edge gateway inside the campus server room. Attendance punches are validated in 40ms locally and queued in a write-ahead SQLite log before syncing asynchronously to our central PostgreSQL database in AWS Mumbai.

Key architectural takeaways:

  1. gRPC HTTP/2 multiplexing reduces gate network overhead by 70%.
  2. Local edge verification prevents student queuing even during total ISP connection drops.
  3. Automated WhatsApp Webhooks fire parent arrival alerts within 1.2 seconds of gate entry.
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Written by Suraj Shegukar

Founder & Chief Executive Officer at InfynoSpark. Specializing in high-concurrency cloud systems, software engineering, and InfynoSecure SaaS ERP pipelines.

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