VLM vs. Custom CV — Decision Checklist

One-page printable that runs the six-question decision tree, the cost break-even math (Gemini 2.5 Flash per-frame token cost vs hosted detector), the latency and consistency guardrails, and the three-stage hybrid gating funnel.

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Book cover: AI for Video, Volume 6 of the Fora Soft Video Engineering Handbook

The book · Volume 6 of 7

AI for Video: A Complete Guide to Intelligence in Video Products: From Models and Inference to Computer Vision, Speech, Search, and Generative Video

This checklist decides between a VLM and custom computer vision: a six-question tree, per-frame cost break-even against a hosted detector, latency guardrails and a three-stage hybrid funnel. Volume 6 covers both sides in depth: detection, tracking and segmentation, models and inference, and deployment topologies for video AI. Written by Nikolay Sapunov, CEO at Fora Soft.

Read it on Amazon →Kindle & paperback · Fora Soft Video Engineering Handbook

Choosing between a VLM and a custom detector for your video feature?

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