jevbooks

← All projects

jevcam

TheAIMogul/jevcam

Raspberry Pi camera with plain-English target detection via TypeSafe Jev.

Other0.37Runner-up: Classification & RoutingThermostat
Automated README summary

Automatically summarized from the README on 20 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

JevCam runs on a Raspberry Pi 4 with a NoIR camera, streaming live 20 fps video and asking TypeSafe Jev once a second whether user-specified targets are present. It includes a PPE monitor and a full-screen app chooser.

How it uses Jev

JevCam sends the newest frame to Jev once a second, asking yes/no questions for each target (e.g., 'Is there a dog clearly visible?') and a box question for its location. Answers return as probabilities and 0–1 coordinates, used to draw boxes and trigger alarms.

Primitives:choicescore

Technique worth stealing

Sample frames to the model once per second while streaming video untouched at 20 fps, so the video never waits on the model.

Try it

Clone the repo, follow the Pi setup steps, and open http://pi-07.local:8080 to choose an app.

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectFound in material0.86
  • Shows a System One patternunclear0.43
  • Describes handling uncertaintynot found in the excerpt0.04
  • Reports measured numbersnot found in the excerpt0.39
  • Is a runnable toolFound in material0.92
  • Top-10 learning shortlist signalnot found in the excerpt0.29
  • Is a replica of the modelnot found in the excerpt0.09
  • Solves a common problem (0–2)score on a 0–2 scale0.52 / 2
  • About JevFound in material0.97
Signals
Jev is core to the project0.86Shows a System One pattern0.43Describes handling uncertainty0.04Reports measured numbers0.39Is a runnable tool0.92Top-10 learning shortlist signal0.29Is a replica of the model0.0900.51Solves a common problem (0–2)0.52 / 2012

no-judgment band (0.40–0.60)

Design patterns
Thermostat0.97Question bank0.59Questionnaire0.2400.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 20 Oct 2026.