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Document Carbofol vision PoC scope and proposed architecture

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# Hardware options and historical budget snapshot
**Snapshot: discussion of 2026-09-09, Germany/EUR.** The numbers below preserve the conversation, including user corrections. They are not newly verified quotes, current offers or purchase recommendations. VAT, shipping, accessories and supplier eligibility were not consistently established. Recheck complete system contents and prices before purchasing.
## Evolution of the budget
| Historical tier | Discussed total | Original concept and limitation |
|---|---:|---|
| Minimal | €500–900 | Webcam/HQ camera, basic LEDs, preferably existing computer; predates the firm two-camera scope |
| Comfortable | €1,500–3,000 | Machine-vision optics, controlled light, Jetson or existing GPU computer; initial scope estimate |
| High end | €5,000–10,000 | Two industrial cameras, specialized illumination/polarization or projected lines, GPU workstation |
An intermediate proposal was €1,000–1,500 for one machine-vision camera, optics, lighting and an existing computer. These earlier envelopes are not equivalent bills of materials for the final two-camera requirement.
## Compute discussion after corrections
| Candidate | Discussed compute cost | Rationale and unresolved limits |
|---|---:|---|
| Existing Linux/GPU computer | No new compute purchase assumed | Start collecting images if suitable hardware is available; actual availability unknown |
| Jetson Orin Nano Super 8 GB | Approximately €600 | Latest edge PoC candidate; limited shared memory must cover OS, capture buffers, vision and optional VLM |
| Jetson Orin NX 16 GB system | Approximately €1,600 | More memory and embedded headroom; cost premium requires a demonstrated need |
| PC with 16 GB NVIDIA GPU | Approximately €2,000 or more | General development/training option; total configuration and performance unverified |
The earlier NX estimate of €1,000 was corrected by the user as education-only pricing and must not be used as the ordinary procurement baseline. A bare module, a developer kit and a complete system with carrier board, cooling, power supply and storage are different purchases. Earlier US list/module prices do not establish a delivered German system cost.
The discussion also corrected overly optimistic desktop estimates: a GPU alone had been discussed around €1,120–1,250, with complete systems around €1,800–2,200 or above. Specific RTX availability statements are historical, unverified market observations, not a claim that only one 16 GB model can be bought.
The device here is the **Jetson Orin Nano Super**, not the older Jetson Nano. Previous TOPS and language-model fit claims are not application benchmarks. Shared Jetson RAM is not directly comparable with discrete GPU VRAM plus separate system RAM. Do not size the device from model weight size alone: image encoders, runtime buffers, context, camera buffers and other services also consume memory.
## Latest two-camera indicative bill of materials
| Item | Discussed allowance |
|---|---:|
| Orin Nano Super 8 GB | €600 |
| 1–2 TB NVMe SSD | €80–140 |
| Two machine-vision cameras | €600–1,200 |
| Two C-mount lenses | €200–400 |
| Two to four LED/line lights | €200–500 |
| Polarizers and small accessories | Approximately €100 |
| Mounts/profiles | €100–200 |
| **Sum of the listed allowances** | **€1,880–3,140** |
The conversation rounded this to approximately €1,900–3,100. Cabling, trigger/encoder hardware, enclosure, any missing power/cooling, shipping and engineering effort need separate confirmation. SSD capacity is a candidate allowance, not a retention guarantee: calculate it from measured stored image size, frame rate and retention duration.
## Working direction, not a purchase decision
First establish whether the defects are visible under reproducible lighting. Reuse cameras, lenses and illumination across compute platforms. The latest discussion favoured the Nano over the NX because the roughly €1,000 difference could support better image acquisition. Validate this hypothesis with recorded-image benchmarks and a dual-camera trial before committing.
Confirm minimum defect size, working distance, actual pixel resolution, usable field of view, shutter/trigger behaviour, lens coverage, raw capture modes, interface bandwidth and software support. Test local VLM descriptions only after detection is stable; an external description worker remains an option. No performance or memory-fit guarantee has been established.