---
name: all-on-platform
description: "User requires INFERENCE fully on KNP/AltAI (pixel → answer); training may be off-platform. Demo goal: UAV object recognition, live"
metadata:
  node_type: memory
  type: feedback
  originSessionId: 5e1c8e61-f0ee-51a6-9940-e024073c3caf
  modified: 2026-10-15T07:37:10.350Z
---

Inference must run entirely on the platform (KNP/AltAI neurons, pixel → answer); no part of recognition may be computed in Python or our own simulator. Training does NOT need to be on AltAI (clarified 2026-10-15: "нам важен именно инференс на алтае, а обучение не важно") — train offline with whatever gives the best accuracy, then load weights into KNP.

**Why:** the live demo (week after 2026-10-15) must show AltAI can replace a neural network for object recognition in UAV systems; that claim is about running recognition on the neuromorphic processor.
**How to apply:** don't spend time on on-chip learning rules; fold preprocessing into neuron weights, verify accuracy with KNP itself, report which numbers come from KNP. Prefer drone-relevant classes (CIFAR-10 vehicles). Related: [[knp-mnist-altai-work]].