Manual DJI thermal reporting vs Heliovue
By 4Tech RealVision. Published . Updated .
The flight is finished. Now you have hundreds of thermal images to sort and a report to assemble. Heliovue brings mapping, candidate review, and a review-ready PDF into one workflow. You still own the inspection judgment.
How do I organize the flight and locate findings?
By hand: organize the original thermal JPEGs and matching RGB photos, inspect them in your analysis tools, and keep track of which images support each finding.
With Heliovue: start with one compatible solar dataset. The workflow produces georeferenced RGB and thermal maps and candidate locations. Capture quality affects coverage; some candidates remain ambiguous or unassigned.
How does the evidence review differ?
By hand: inspect thermal patterns, compare source images, and record your findings and uncertainties.
With Heliovue: review candidate hotspots and PID-like thermal patterns. For runs with complete evidence, compare map crops and source-image context, then retain or dismiss candidates, request field verification, or mark them not assessable. Automated priorities do not confirm faults.
How do I turn reviewed findings into a report?
By hand: copy imagery, measurements, locations, and notes into Word or Excel and assemble a PDF.
With Heliovue: generate an IEC 62446-3-styled PDF with candidate findings, thermal imagery, priorities, and available location information. Review the evidence and limitations before sharing it. Eligible candidate catalogs can also be exported as CSV or GeoJSON.
Will Heliovue save time or replace my inspection judgment?
We do not have a measured time-saving benchmark to publish. Processing time and coverage depend on the dataset. Heliovue does not replace a qualified inspector, field verification, or your responsibility for what you tell a client. The PDF is not IEC certification, and no candidates found is not an all-clear.
When is a manual reporting process still a good fit?
Keep your manual process when it already produces a clear, traceable deliverable for the job. A small set of selected images and an established report template may be sufficient for a narrowly defined review. The relevant question is how much work remains between looking at an image and explaining the finding to someone who was not present during the inspection.
Write down the steps you actually perform: organize the files, choose evidence, connect each image to a location, record your judgment, and check the final document. That list makes the comparison concrete. Heliovue may bring several of those steps into one workflow for a compatible solar dataset, but it does not remove the need to assess evidence or agree the inspection scope with your client.
What does a traceable finding look like?
A traceable finding connects an observation to its source, location context, review decision, and unresolved questions. In a manual document, you maintain those connections yourself. In Heliovue, examine the available candidate record and evidence before using its outputs. In either workflow, a screenshot without sufficient context leaves the next person to guess what was inspected and what action is justified.
Consider this illustrative example: a candidate hotspot appears near a row boundary, but the imagery does not establish the panel assignment confidently. In a spreadsheet, you might record the source filename and explain that the panel location remains uncertain. In Heliovue, review the available source context and use a review note and the appropriate decision, such as requesting field verification. Neither workflow turns an uncertain location into a confirmed failed panel.
How can I compare the two workflows on my own flight?
Use the same compatible dataset and the same intended deliverable so the comparison measures the work you need done. Start with a copy of your existing report checklist. For the beta, bring original radiometric thermal images and matching RGB photos; suitability is confirmed before access is arranged. A finished screenshot collection alone is not equivalent to that source dataset.
- Record the active time you spend sorting files and assembling evidence by hand.
- Record processing wait time separately from the time you spend reviewing Heliovue results.
- Check whether you can follow each reported candidate back to understandable evidence and location context.
- Read both deliverables as if you were the recipient, noting missing explanations and manual edits.
- Compare the final review effort, not just the moment a PDF becomes available.
These are suggested evaluation steps, not a published benchmark. If one workflow contains more detail or covers a different area, the time totals are not directly comparable. Keep a record of those differences before deciding whether the workflow makes your service easier to deliver.
What happens when evidence is missing or no candidates appear?
Missing evidence and an empty candidate list both require interpretation; neither proves a fault-free site. Capture coverage and panel assignment can vary, and some locations remain ambiguous or unassigned. For an older Heliovue capture, reprocessing may be necessary to make evidence review available. A manual report also needs to describe areas or observations the imagery cannot support.
Separate what you observed from what you could not assess. For example, do not replace an unsupported observation with a broad assurance about the whole installation. Explain the limitation and what additional evidence or field check would be needed. That distinction matters more to a useful handoff than whether the report was assembled in Word, Excel, or a generated PDF.
Can I try the format before changing my reporting process?
Yes. The illustrative sample report is available without signup. Its fictional data and schematic images show a format, not a measured outcome or a real production export. Use it to consider whether the report structure fits your work, then evaluate actual outputs from your own compatible dataset.
The founding-team beta offers help processing one compatible dataset free and reviewing the results, in exchange for one 20-minute feedback call. You keep the deliverables. The form begins a conversation; it does not automatically grant access. Keep your current reporting process available until you have checked whether the beta’s outputs meet the needs of the job.
Read the dataset requirements and inspection workflow, check how datasets are handled, or request a free first-flight review.
Compare specific workflows: DJI Thermal Analysis Tool 3 or Raptor Maps.