SE Inspect 1.0.0-alpha.1 — first public alpha

2026-10-02 · first public alpha · licence PolyForm Noncommercial 1.0.0 (LICENSE, commercial use: COMMERCIAL.md)

What this is

A neuromorphic inspection cell for one camera: Raspberry Pi 5, one to four BrainChip AKD1500 cards, Camera Module 3. It learns a part on the chip from a handful of photos, recognises it by aligned silhouettes, measures geometry on the Pi and says unknown instead of guessing. The web UI is bilingual (German/English) and runs without any hardware in synthetic mode.

What works in this alpha

• Stationary profile (default, VORSA_PROFIL=stationaer): inspection cell without belt or arm. Trigger by hand (button / space bar) or automatically when the scene settles; per-part inspection log; multi-frame averaging before segmentation.
• Line profile (VORSA_PROFIL=linie): belt via relay or L298N, Arduino stepper arm, delivery and pickup zones from one camera. A second camera, "view 2" fusion and per-camera learning zones are switched off in this release (VORSA_ZWEITKAMERA=1 brings them back, untested here).
• Recognition chain: empty-image difference → geometry → hypotheses for overlapping parts (two rounds) → card distributor across 1–4 AKD1500 → verdict with confidence bars. CPU stand-in (VORSA_CPU_LERNEN=1, automatic in synthetic mode) gives the same numbers in software, slower, with no hardware claim.
• Camera dock under the image (image, colour, window, background), right-click menu for overlays, capture-window resize in the learning view, three looks (SpikingEdge, industrial, Magna).
• Test-set tool: record scenes with expected results, tools/eval_testsatz.py scores a build against them.
• Benches without hardware (tools/test_*.py, tools/run_selftest.py) and UI smokes (tools/smoke_*.js, jsdom) — run in CI on every push.
• Installer install.sh (Pi 5, Bookworm 64-bit, kernel 6.12, patched Akida PCIe driver) and install.sh --laptop.

Known limitations (read before relying on it)

• Alpha: interfaces, file layouts and the vorsa_daten/ format may change between alphas without migration.
• The published quality numbers (Q1–Q10 in SE_INSPECT_1_0_SPEC.md) are not yet measured on a real bench test set; what exists are synthetic benches and lab observations. Evidence pages on spikingedge.com label every figure with its provenance.
• Hypotheses for ring-shaped fragments reach ~80 % on the synthetic bench (target 75 %); real overlapping parts are untested at scale.
• The trained SE-M3 detector is not included; live recognition runs geometrically (OpenCV) plus on-chip silhouette matching.
• One Pi, one camera, tested on Pi 5 8 GB with 1 and 4 cards. Pi 4 and other cameras are untested.
• Safety: a belt and an arm are machinery. SAFETY.md is mandatory reading; nothing in this software is a safety function.
• bereich_info can show a partially updated state for one frame at low frame rates (B9 in AUDIT_FREIGABE.md), cosmetic.

How to try it

See README.md — five minutes on a laptop without hardware, thirty minutes on a Pi 5 with one card. Website: https://spikingedge.com/get-vorsa/

Reporting

Bugs and bench results: GitHub issues. Attach install.log and the build string from the UI footer. Contributions: CONTRIBUTING.md (DCO + one-line CLA).

Changes since the lab prototype (VORSA INSPECT 1.9.37)

CHANGELOG.md lists every build 1.9.38 → 1.0.0-alpha.1; each one has a reproducible patch script in tools/patch_19xx_*.py.