AI solar-module EL inspection: SELMA vs STS vs DSTEK

Choosing an EL analysis workflow

Electroluminescence images reveal cell-level patterns that ordinary photographs cannot show. For PV quality teams, the buying decision is how to turn those images into consistent module decisions before shipment or during production. Sinovoltaics SELMA, STS and DSTEK all apply AI to this problem, but two emphasize inspection services while the third supplies factory inspection technology.

Sinovoltaics SELMA

Sinovoltaics SELMA is the company's EL Mass Analysis software, offered within its solar-module quality inspection work. It processes large quantities of EL imagery and classifies cell-inherent defects, including crack and electrical defect patterns, so nonconforming modules can be identified at the factory. Its strongest fit is the PV buyer, EPC or manufacturer that wants analysis scaled across an agreed production population rather than a small manual sample. The service framing matters: the public page invites project inquiries for module testing and does not establish a downloadable self-service software subscription. SELMA makes mass review the central benefit, with defect classifications supporting the decision to replace affected modules before they ship. Sinovoltaics publishes accuracy and defect-removal claims, but these do not demonstrate a universal result for every camera, module design or acceptance threshold. Buyers should read SELMA as an inspection capability whose usable output depends on the contracted dataset and defect criteria, not as a general guarantee against future solar-plant losses.

STS AI-Powered EL Testing

STS AI-Powered EL Testing centers the buyer's acceptance specification. The service describes AI training using project-specific EL images and requirements, followed by expert validation of findings. Its output includes an inspection summary, defect distributions and module-level details such as serial numbers, positions, classifications and inspection decisions. This combination is useful when a procurement team needs evidence tied to the quality conditions in its own supply contract. Instead of treating an AI label as the final commercial decision, STS adds independent technical review to the reporting process. The company offers scopes from targeted sampling through review of an entire production population when agreed and supported by the available dataset. Its stated reporting times depend on receipt of complete images and the project scope. STS therefore fits a buyer seeking a reviewed acceptance report more directly than a manufacturer seeking to buy and operate its own inline vision station. Image capture equipment, onsite inspection and analysis should not be assumed to be one inseparable package.

DSTEK Photovoltaic Inspection

DSTEK Photovoltaic Inspection brings the algorithm, imaging setup and production machinery into the same procurement conversation. Its solar applications explicitly include deep-learning EL and PL analysis, module micro-cracks, dark corners and spots. The broader photovoltaic portfolio also covers wafer intake, coating and print inspection, but those are separate manufacturing tasks rather than additional capabilities automatically purchased with module EL analysis. DSTEK's Handdle AI platform supports labeling, training, inference and deployment through a no-code vision workflow. Paired with optical systems and equipment integration, that gives a manufacturer a route toward running inspection inside its own process rather than sending each batch to an independent reviewer. The useful distinction is ownership of the operational workflow: DSTEK is an implementation choice for the production line, while STS and Sinovoltaics foreground buyer-side quality services. Generic platform speed, precision or accuracy figures are configuration-dependent and should not be treated as performance specifications for a particular solar-module installation.

Independent review versus an owned inspection station

Sinovoltaics SELMA and STS help a buyer obtain analyzed inspection evidence without building its own complete factory vision system. SELMA emphasizes processing the production population; STS emphasizes project-specific criteria and expert-reviewed deliverables. DSTEK suits a manufacturer that wants the inspection capability embedded in a line and operated as part of production. All three can contribute to module quality decisions, but an independent shipment report and a commissioned inspection station solve different parts of the organization's quality workflow.

Defect classes and acceptance decisions

SELMA's defect library gives buyers a mass-screening approach to recurring cell-inherent problems. STS describes tailoring defect definitions and thresholds to the project, then connecting classifications to a reviewed acceptance recommendation. DSTEK links photovoltaic models to the actual imaging and manufacturing task, with Handdle providing the model workflow. The relevant comparison is how a detected pattern becomes a decision: a flagged module in a service report, an independently reviewed contractual finding, or an output from the manufacturer's configured inspection system. No common comparative accuracy test is established by these product descriptions.

What the commercial proposal needs to represent

SELMA and STS use project inquiries rather than confirmed public numeric inspection rates. DSTEK also requires a scoped proposal, with software, optics, equipment and integration potentially contributing to the purchase. A price per dataset cannot be compared directly with the capital and service cost of a line installation. SELMA and STS are more natural when the immediate need is evidence about a specific shipment. DSTEK becomes more relevant when repeated production inspection and internal process integration justify operating the capability continuously.

Which EL approach should you choose?

Choose SELMA for mass pre-shipment image screening, STS for project-specific independent acceptance review, and DSTEK for factory-integrated inspection. The deciding factor is whether your team needs an analyzed shipment, a reviewed buyer report or an inspection capability it will operate itself.