What it is
Artificial intelligence that sees for you: it analyzes images and video to detect, count, monitor and alert in real time.
What's included
- Defect detection and quality control.
- Image-based inventory counting and control.
- Security and restricted-area monitoring.
- Automatic real-time alerts.
- Event logging for later analysis.
How we work: service methodology
- Phase 1 · Document Sampling and Field Definition (Week 1) — Gathering a representative document sample and defining the fields to extract.
- Phase 2 · Vision Pipeline Architecture (Weeks 1-2) — Image preprocessing and selecting the recognition engine.
- Phase 3 · Building Validators (Weeks 2-3) — Business validation rules for the extracted data.
- Phase 4 · Integration with the Destination System (Week 3) — Connecting to the client's accounting software, CRM or database.
- Phase 5 · Testing and Deployment (Week 4) — Evaluating accuracy against real documents and going live.
What we need from your team
- Samples of real documents, anonymized if necessary.
- The exact fields to extract and their validation rules.
- Access to the destination system where the structured data must arrive.
Who it's for
- Manufacturing and production lines.
- Retail, warehouses and logistics.
- Operations that depend on visual inspection.
Signs you need it
- Quality control depends on a person visually checking each piece or product, which is slow and error-prone.
- Inventory counts are done manually and mismatches between physical stock and records are frequent.
- Monitoring restricted or security areas depends on someone watching the cameras in real time.
- When an operational incident happens, it's detected late because there are no automatic alerts based on what the cameras record.
Expected outcome
- Fewer quality defects reaching the customer.
- Inventory and operations monitored with no manual effort.
- Incidents detected instantly, not after the fact.
Why jsadsAI
We reuse your existing cameras whenever possible and design the system so the AI delivers actionable data, not just recordings.
Frequently asked questions about this service
How accurate is the data recognition?
It depends on the document type and its quality; it's measured during the testing phase against your own real sample, with human review for low-confidence cases.
Does it work with handwritten documents?
Accuracy drops with handwriting compared to printed or digital documents; it's evaluated case by case before committing to a result.
What happens with documents the system doesn't understand well?
They're routed to human review instead of being processed automatically with no oversight.
Is it safe for documents with sensitive information?
Yes, we work with private architectures and no-retention clauses.
Technology stack
- Computer Vision
- Detección de objetos
- Cámaras / RTSP
- Alertas en tiempo real
- Edge / Cloud