Explore real-world FFI8805 CIM deployments across five industry verticals with ROI analysis
Deployed FFI8805 Pro-powered AOI visual inspection on high-speed production lines, achieving sub-micron defect detection with 99.5% detection rate at only 2.8W per station.
SMT line produces 50,000 PCBs/day. Manual inspection miss rate 3%-5%, ~1,500 defective boards leak downstream daily. Night shift quality degrades further.
Industrial camera via USB 3.0 to FFI8805 Mini running CIM-optimized YOLOv8-n for real-time detection. GPIO feedback to PLC for automatic diversion.
| Before | After | Improvement |
|---|---|---|
| Detection Rate 86% | 99.5% | +15.7% |
| Inspection Speed 45s/piece | 8s/piece | +462% |
| Power/Station 120W (GPU) | 2.8W (CIM) | -97.7% |
| False Positive 3.2% | 0.08% | -97.5% |
Deployed 200 FFI8805 Mini edge nodes at intersections for real-time traffic flow, pedestrian density, and accident detection with < 50ms end-to-end latency.
200 channels of 1080p video need ~4 Gbps bandwidth. Central server analysis latency 3-5s. Server costs are high and scaling is limited.
FFI8805 Mini at each camera for edge analysis. Only alert keyframes uploaded, reducing bandwidth 40x.
| Before | After | Improvement |
|---|---|---|
| Analysis Latency 2-5s (Cloud) | < 50ms (Local) | -97.5% |
| Accident Detection 72% | 96.3% | +33.8% |
| Bandwidth Needed 50 Mbps/node | 0.5 Mbps/node | -99% |
| Power/Node 85W | 1.5W | -98.2% |
Deployed 60 FFI8805 Mini nodes with hyperspectral cameras across 8,000 sqm greenhouse, achieving 94% early pest detection rate and 40% pesticide reduction.
Manual inspection only once/day. Pests spread before detection. Excessive pesticide use increases costs and environmental impact.
FFI8805 Mini + hyperspectral camera for 24/7 monitoring. Early pest detection with precision spraying. Solar-powered for zero carbon.
| Before | After | Improvement |
|---|---|---|
| Pest Detection 65% (Manual) | 94% (AI Real-time) | +44.6% |
| Pesticide Usage 100% (Baseline) | 60% | -40% |
| Inspection Freq. Once/day | 24/7 Real-time | 24/7 |
| Power/Node N/A | 1.2W (Solar OK) | Zero Carbon |
Deployed FFI8805 Pro across 15 primary clinics for local chest X-ray screening and ECG analysis. Data never leaves the clinic, screening time reduced from 24h to 5s.
Primary clinics lack radiologists. Inconsistent reading quality. 24-48h wait for reports. Remote areas face even greater challenges.
FFI8805 Pro integrated into ultrasound equipment. Dual-model inference: medical image classification + clinical SLM at 3W, fully offline.
| Before | After | Improvement |
|---|---|---|
| Screening Time 24-48 hours | < 5 seconds | -99.99% |
| Assisted Accuracy N/A | 94.2% | New Capability |
| Data Compliance Cloud Upload | 100% Local | Full Compliance |
| Device Power 200W (Workstation) | 3W (CIM) | -98.5% |
Deployed FFI8805 Mini-powered smart shelves across 80 stores, recognizing 500+ SKUs in real-time with 3x faster checkout and 99.2% inventory accuracy.
Cloud recognition requires network. Offline = no service. Manual inventory is slow, only 87% accurate. Stockout losses are severe.
FFI8805 Mini-powered smart shelves. Local MobileNet-V3 recognizes 500+ SKUs in real-time. Fully offline capable.
| Before | After | Improvement |
|---|---|---|
| Recognition Speed 2-3s (Cloud) | < 300ms (Local) | -85% |
| SKU Coverage 200 (Manual) | 500+ | +150% |
| Inventory Accuracy 87% | 99.2% | +14% |
| Offline Availability 0% (Cloud) | 100% | Full Offline |
Contact our technical team for a customized deployment plan and ROI analysis report