Deploy AI-powered visual inspection on any production line in under 2 weeks — no data scientists, no coding, no line stoppage. Train new SKUs in 45 minutes. Trusted by global manufacturers to achieve zero-defect production.
PASS
FAIL
PASS
PASS
Hardware-agnostic — works with any GigE Vision camera. Rev1 handles fixture design, camera mounting, and PLC wiring. TCP/IP and Modbus. Successfully integrated with Siemens, Delta, Omron, and Mitsubishi.
Fewer than 200 images of acceptable parts. No defect images required. The no-code training wizard guides your operators through every step. No data science team, no cloud connection. Production-ready in about 45 minutes.


100% automated inspection at up to 1,000+ PPM. Real-time pass/fail signals to your PLC for automatic rejection. Rev1 manages on-site commissioning, operator training, and post-deployment hypercare through production sign-off.






A proof-of-concept for a global biopharma manufacturer — inspecting 20mL sterile vials for particulate contamination — achieved perfect validation across all six tested contaminant classes. Dual-camera optical assembly with diffuse backlight and ring light, integrated with a vacuum-gripper vial handler and PLC. POC ran at Rev1's Auburn Hills facility before on-site commissioning.
A global consumer goods manufacturer replaced a prior machine vision system on a high-speed packaging line. Defect escape rate dropped 83% while maintaining 1,000+ PPM throughput — zero additional headcount.
Body-in-white surface inspection where traditional vision failed due to part placement variability. Pass/fail in under 1 second at line speed. False rejections down 40%. QA labor reduced 75%.
Live rejection ratio trends. Defect Pareto analysis. Shift-over-shift comparisons. CPK/PPK reporting. Root-cause image archive. Multi-station, multi-facility aggregation — one dashboard, full factory visibility.



When evaluating automated visual inspection, teams often look at traditional leaders like Cognex and Keyence, plus newer AI platforms. Here’s how DeepInspect® with Rev1 stands out — on capability, speed to production, and total cost.
| Criteria | DeepInspect® via Rev1 Technologies |
Cognex / Keyence | Other AI Platforms |
|---|---|---|---|
| Deep learning (purpose-built) | ✓ Native | Add-on or rule-based | Varies |
| Camera choice | ✓ Any GigE Vision | Vendor-locked | Proprietary or bundled |
| Training data | ✓ <200 good images, no defects | Hundreds–thousands or rule config | Often defect data or labeling |
| Time to production | ✓ ~2 weeks with Rev1 | 12–16 weeks typical | Self-serve only, no US integration |
| US integration & commissioning | ✓ Rev1 — fixture, PLC, sign-off | Integrator-dependent | Direct only |
| FDA 21 CFR Part 11 (pharma) | ✓ Native, audit-ready | Custom validation | Not featured |
| Throughput | 1,000+ PPM | Line-dependent | Line-dependent |
| Relative investment | ● | ●●●● | ●●● |
● = most affordable ●●● = mid ●●●● = premium (no dollar amounts — contact Rev1 for your use case).
Rule-based systems require machine vision engineers. When part geometry varies or lighting isn't perfect, false-positive rates spike and re-tuning is constant. Deep learning handles that variability without code changes.
Both are excellent platforms — but hardware-bundled and direct-to-manufacturer only. Neither provides a US engineering team to design your fixture, wire your PLC, and own the commissioning outcome. Rev1 does.

All inference runs locally on the DeepInspect edge controller. Inspection decisions happen in real time without a network connection — suitable for air-gapped and regulated environments. Cloud connectivity is optional, used only for analytics aggregation.
Designed for pharmaceuticals, medical devices, food and beverage, and aerospace — where inspection traceability, data integrity, and audit readiness are non-negotiable.
Full audit trail, electronic signature support, and access control logging for FDA-regulated pharmaceutical and medical device manufacturing. SSO included in all subscription tiers.
DeepInspect Analyze cloud platform operates on SOC 2 Type II infrastructure. All inspection data at rest and in transit is encrypted to enterprise security standards.
All AI inference runs locally — the platform operates without network connectivity, suitable for classified and regulated environments.