Take a Photo. AI Fills the Form
Your inspector takes a photo of any asset or defect. AI reads it and fills the inspection form automatically. No typing. No manual entry.
Quick Answer: AI-powered inspections in Inspectly360 use on-device computer vision to analyse inspection photos and flag defects, hazards, and anomalies. Edge AI detects issues like cracks, corrosion, and missing PPE in seconds, with a confidence score for each finding. It runs fully offline on the device. It does not replace the inspector. It replaces the missed defects that come from fatigue, rushed rounds, and difficult conditions.
AI-powered inspections in Inspectly360 add a computer-vision second check to every photo your team captures. Manual visual inspection is limited by fatigue, subjectivity, and inconsistency, and a tired inspector at the end of a long round misses things. Inspectly360's Edge AI analyses photos in real time on the device to detect cracks, corrosion, structural damage, safety hazards, and equipment anomalies. Each detection carries a confidence score and severity classification, so inspectors can prioritise findings quickly. Because the AI runs on-device, it works fully offline with no cloud latency.
What AI-Powered Inspections includes
Automatic Crack Detection
Computer vision identifies surface cracks, fractures, and structural damage from inspection photos.
Explore FeatureCorrosion & Degradation Analysis
AI detects and classifies corrosion severity, rust patterns, surface degradation, and material deterioration.
Explore FeatureSafety Hazard Identification
Automatically flag missing PPE, blocked exits, exposed wiring, and trip hazards relevant to OSHA and ISO 45001.
Explore FeatureOn-Device Edge Processing
All AI processing runs on the device. No data is sent to the cloud, so there is no latency or connectivity requirement.
Explore FeatureConfidence Scoring
Each detection includes a confidence score and severity classification to help inspectors prioritise findings.
Explore FeaturePhoto-to-Form Autofill
AI reads what the inspector captures and suggests the category, severity, and form fields for one-tap confirmation.
Explore FeatureHow AI-Powered Inspections works
- 1
Inspector captures a photo
During an inspection, the inspector photographs an asset, surface, or area of concern directly inside the Inspectly360 app.
- 2
Edge AI analyses the image
On-device AI analyses the photo in seconds, detecting defects such as cracks, corrosion, and safety hazards with no internet connection.
- 3
Findings are scored and suggested
Each detection appears with a confidence score and severity. The AI suggests a category and form fields, and the inspector confirms or overrides.
- 4
Results attach to the inspection
Confirmed findings attach to the checklist item with the photo and annotations, ready for the report, the audit trail, and corrective action tracking.
What this replaces
Before Inspectly360
- Inspectors rely on the naked eye alone, often at the end of a long round.
- Hairline cracks, early corrosion, and missed PPE slip through unnoticed.
- The defect surfaces later as a failure, a complaint, or a failed audit.
After Inspectly360
- An on-device AI check reviews every photo the inspector captures.
- Likely defects and hazards are flagged in seconds with a confidence score.
- Inspectors catch and log issues earlier, before they become incidents.
Why operations teams use AI-Powered Inspections
- Catches defects a tired or rushed inspector can miss
- A second AI check reduces missed safety hazards
- Real-time analysis, results within seconds of capturing a photo
- No cloud dependency, works fully offline via Edge AI
- Consistent, objective analysis unaffected by fatigue or bias
- Industry-specific models for construction, manufacturing, and energy
Where teams use AI-Powered Inspections
Concrete Structure Inspection
AI analyses photos of concrete surfaces to detect hairline cracks, spalling, delamination, and rebar exposure. Severity classification helps engineers prioritise repairs and assess structural integrity.
Manufacturing Quality Control
QC inspectors photograph product samples on the line, and Edge AI flags surface defects and assembly issues in real time, catching quality problems before products ship.
Pipeline & Infrastructure
Energy and utility inspectors photograph pipeline segments, welds, and infrastructure components. AI detects corrosion, coating failures, and anomalies across thousands of assets.
AI-Powered Features for Your Field Workflows
Everything your field team does on paper, Inspectly360 does automatically: faster, more accurate, and without the admin.
Speak. AI Writes It Down.
Inspectors speak their observations in any language. AI transcribes and fills the form in real time. Completely hands-free in the field.
Inspections Done. Report Ready.
The moment an inspection is submitted, a branded PDF, Excel, or CSV report generates automatically. No manual work. No waiting.
Connect Your Existing Tools.
Inspectly360 integrates with the tools your team already uses, including Zoho, Microsoft 365, and SAP. No double entry.
Live Dashboard. Every Site. Always On.
Your operations team sees completion rates, open issues, and compliance scores across all sites in real time. No chasing updates.
Keep exploring
Industries we serve
Related features
From the glossary
Frequently Asked Questions
How accurate is the AI defect detection?
Inspectly360's AI models are trained to flag common defect categories such as cracks, corrosion, and safety hazards. Accuracy varies by industry, defect type, photo quality, and lighting, and the models improve as the system learns from more inspection data. Every detection includes a confidence score, so inspectors can act on high-confidence findings quickly and apply their own judgement to the rest. Enterprise customers can train custom models on their own inspection imagery to improve relevance for their specific assets and defect types. The AI flags potential issues, but the qualified inspector always makes the final call, so accountability stays with your team.
Does AI replace human inspectors?
No. AI augments human inspectors by flagging potential issues for review. The final determination is always made by the qualified inspector, so accountability and compliance stay with your team. The AI is most useful as a second set of eyes: it catches what a person might miss because of fatigue, distraction, poor light, or a rushed schedule, and it does so consistently across every photo. It also speeds up the work, suggesting categories and form fields so the inspector taps to confirm instead of typing. The inspector still walks the site, applies judgement, and decides what counts as a defect.
Can I train custom AI models for my industry?
Yes. Enterprise customers can train custom detection models using their own inspection data, optimised for the defect types, materials, and scenarios specific to their operations. Custom models improve relevance and accuracy for niche use cases, such as a particular asset type, a specialised coating, or a regulatory requirement, while still running on-device for offline use. This matters when standard models do not capture what your team needs to find. A custom model trained on your own pipeline welds, concrete finishes, or production samples will flag the issues that actually matter to your inspections rather than generic defect categories.
Is inspection photo data used for AI training?
Only with explicit customer consent. AI model improvement uses anonymised, aggregated data when the customer permits it, and enterprise customers can opt out entirely so their inspection photos are never used for training. No identifiable site, project, or customer data is ever used, and processing can be confined to your instance where compliance requires it. Because the AI runs on-device, photos do not need to leave the phone or tablet for analysis at all. This gives operations teams in regulated sectors a clear answer when their security or compliance team asks what happens to inspection imagery.
How fast does the AI return results in the field?
Results appear within seconds of capturing a photo. Because the AI runs on-device with Edge processing, there is no upload, no waiting for a server, and no dependency on signal strength. An inspector takes a photo of a crack or a corroded valve and sees the AI's findings almost immediately, while still standing in front of the asset. This speed matters for field work: the inspector can act on a flagged hazard, capture a follow-up photo, or escalate an issue without breaking their flow. It also means the AI works just as fast in a basement or remote site as it does anywhere else.
How does AI inspection support safety compliance?
AI inspection helps teams meet standards such as OSHA and ISO 45001 by adding a consistent check for visible safety hazards on every photo. The AI flags missing PPE, blocked fire exits, exposed wiring, and trip hazards, so an inspector is prompted to log and act on them rather than walk past. Each detection is timestamped, scored, and attached to the inspection record, which builds a clear audit trail showing that hazards were identified and addressed. When an auditor asks for evidence that safety checks happened, the team can show photo-backed records with AI-flagged findings instead of relying on memory or paper notes.
See AI-Powered Inspections in Action
Book a free demo. We will configure this feature against your workflow and show how it runs at your sites.
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