Vertical-Driven Architectures
Collection
Physical AI system designs by CodeNinja, reasoned on Praxis, made living with Hyper Ontology. • 33 items • Updated
choice stringlengths 8 28 | picked stringlengths 38 121 | why stringlengths 69 158 |
|---|---|---|
Detection model | D-FINE, Apache-2.0, BF16, N to X tiers | Unconditional license keeps the weights in the operator's hands; N through L fit the 48 GB card; ahead of DEIM on matched compute in the July 2026 comparison. |
Site inference server | 48 GB PCIe inference GPU class server in the ASHRAE A2 conditioned server room, N+1 | The entry class for plant server rooms running vision, and retrospective search plus 80 to 120 streams of decode fit it with headroom for a second model. |
Recorder and serving runtime | Frigate NVR v0.18.0 with its built-in ONNX detector runtime | Open source the operator owns outright; keeps 30-day retention, ONVIF and RTSP exits and local detection without per-camera license rents. |
Camera heads | Fixed multi-sensor thermal and visible heads, no wireless radios, Section 889 screened with producer-of-record statements | Zone coverage needs always-present calibrated views, and camera provenance is the first procurement gate on a test site. |
Site networking | Managed PoE switches over underground single-mode fiber, two strands per pole | The requirement fixes the fiber architecture, and PoE Type 1 and 2 per-port budgets cover the heads without pole-side power electronics. |
Enclosures and power | NEMA-rated outdoor enclosures, 277/120/24 V step-down transformer feeds, Network UPS Tools for clean shutdown | Heat, storms and sun angle degrade heads and light budgets, and clean shutdown protects the archive. |
Time synchronization | OCP Time Card GNSS grandmaster with holdover oscillator, Chrony 4.9, linuxptp where PTP-aware switches exist | Evidentiary ordering across 80 to 120 recorded streams requires one clock. |
Identity | Keycloak on-premise single sign-on with hardware token sign on for Linux hosts | Only booth operators and the safety office reach the isolated network, under the operator's identity policy. |
Observability | Prometheus, Grafana and Loki on the isolated network | Camera uptime must be a first-class metric, not a vendor health page. |
Sizing rules | The survey evidence pack, pixels on target first, low light as a budget, mounting geometry decides what you see | Coverage is proven in phase one evidence, never assumed from a camera count. |
Patterns | A site-scale camera onboarding reference architecture and an on-premises video search blueprint | Onboarding, clip retrieval and search patterns adopted with no managed cloud, keeping the audio visual core on-premises. |
Proving ground camera monitoring ontology and model register for the United States
The object model and the model and equipment register from Pit Camera Watch: An On-Premises Camera Monitoring System for Every Turn, Crossing and Pit Entry on the Test Site, an open reference architecture by CodeNinja Atoms for a vehicle proving ground in the United States, in discrete manufacturing and automotive. Part of the Vertical-Driven Architectures series; every design in the series is also a row in the cumulative dataset https://huggingface.co/datasets/CodeNinjatools/vertical-driven-architectures.
- Read the paper: https://codeatoms.ai/test-site-camera-monitoring-us/
- DOI: https://doi.org/10.5281/zenodo.23296077
- Source files and PDF: https://github.com/muhammadumar89/codeninja-research
- Live view: https://huggingface.co/spaces/CodeNinjatools/test-site-camera-monitoring-us
Files
| File | What it holds |
|---|---|
objects.json |
15 typed objects (the site, camera pole, camera head, underground fiber run, safety gate, operator booth display, recorder server, 30-day footage archive, incident or accident record, site operator, gate officer, safety office reviewer, vehicle under test, test cycle, power and fiber assessment package), each with its anchor, properties, status vocabulary and 13 typed links. Format hyper-ontology/1: designed with CodeNinja Praxis, implemented with Hyper Ontology. |
models.csv |
The model and equipment register from the paper's Table 4, with the reason for each choice. |
How to use it
import json
from huggingface_hub import hf_hub_download
p = hf_hub_download("CodeNinjatools/test-site-camera-monitoring-us-ontology", "objects.json", repo_type="dataset")
objects = json.load(open(p))["objects"]
print([o["label"] for o in objects])
Citation
CodeNinja Engineering Team and Umar Bilal. 2026. Pit Camera Watch: An On-Premises Camera Monitoring System for Every Turn, Crossing and Pit Entry on the Test Site. CodeNinja Atoms. https://doi.org/10.5281/zenodo.23296077. CC BY 4.0.
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