Eliminate Assembly Bottlenecks & Human Error in Real Time.
YAFE SOP Tracking AI uses overhead computer vision for continuous Live cycle time tracking, manual assembly step sequence validation, takt time compliance, and automated Poka-Yoke error-proofing. Track operator touch time, detect skipped fasteners, and prevent defect escapes instantaneously without wearable sensors.
Overhead neural networks trained to track manual assembly steps, tool engagements, parts handling, and line takt pacing.
Continuous, millisecond-accurate measurement of every assembly stage, indexing operator touch time vs idle wait time in real time.
Enforce strict chronological order of parts picking, placement, tightening, and tool handling as defined in your digital SOPs.
Instant trigger if a component is skipped, inverted, or improperly seated, halting line advancement before defects escape downstream.
Automated bidirectional handshakes with plant MES, digital work instructions, and visual ANDON displays for closed-loop control.
Connect standard shop floor CCTV cameras in minutes to unlock autonomous cycle time tracking without altering physical lines.
Connect existing RTSP/ONVIF camera streams mounted above manual workstations. Learn how our edge video analytics architecture processes high-FPS streams.
On-premise edge appliance analyzes high-FPS video locally, tracking operator hand motions, tools, bin selections, and components.
Vision AI automatically benchmarks each micro-motion against engineered takt times with sub-second precision (±0.05s).
Instantaneous triggers activate operator touchscreens, audio buzzers, or PLC conveyor interlocks if a step is skipped.
All micro-stoppages and step durations stream into shift balancing heatmaps, OEE metrics, and root-cause quality audits.
Manual assembly lines have historically depended on infrequent stopwatch audits or inaccurate operator self-reporting. YAFE transforms camera video into continuous Live cycle time tracking, capturing exact cycle durations, micro-stoppages, and ergonomics across every operator shift without physical disruption.
Convert raw workstation video into structured cycle times, compliance trends, and shift balancing audits.
| Workstation ID | Assembly Task | Live Cycle Time | SOP & Poka-Yoke Status | Action Taken |
|---|---|---|---|---|
| WS-01 • Chassis Line | M8 Bolt Torque (x4) | 38.4s (Target: 45.0s) | ✓ Sequence Validated | Logged to Shift MES |
| WS-02 • Wiring Harness | Connector Pin Lock | 58.2s (Target: 50.0s) | ⚠ Step 3 Delayed | Audio Guidance Prompted |
| WS-03 • PCB Subassembly | Thermal Paste & Heat Sink | 42.1s (Target: 50.0s) | ✓ Sequence Validated | Logged to Shift MES |
| WS-04 • Final Enclosure | Cover Plate Fastening | 47.9s (Target: 55.0s) | ✓ Sequence Validated | Conveyor Release Granted |
Guarantee zero defect escapes from your manual assembly stations. YAFE detects hand movements, correct bin picking, tool engagement, and component seating—preventing forgotten screws, inverted gaskets, or skipped sub-steps before workpieces advance downstream. Pair with AI Quality Inspection and MES Intelligence for closed-loop shop floor control.
Deploy continuous visual SOP verification and Live cycle time tracking across diverse production lines.
Powertrain subassembly, wire harness routing, torque tool engagement, and instrument panel validation on high-speed lines.
SMT board placement, soldering sequences, connector seating, and screw counting on intricate multi-component products.
Hydraulic valve blocks, structural bracket bolting, hose connections, and complex multi-stage assembly procedures.
Cleanroom packaging orders, diagnostic kit sub-assemblies, and strict regulatory step validation with serial-level audit records.
Built for zero cloud latency, high FPS analysis, and seamless shop floor connectivity.
| Specification Category | Architecture Parameter | Enterprise Guarantee |
|---|---|---|
| Vision AI Engine | 3D Spatio-Temporal Graph Networks (ST-GCN) & Vision Transformers | Sub-second micro-motion gesture & tool engagement detection |
| Cycle Time Accuracy | Live cycle time tracking with timestamp boundaries | ±0.05 seconds precision per assembly step |
| Camera Compatibility | Standard IP CCTV (RTSP, ONVIF), GigE Vision, USB 3.0 | 1080p / 4K feeds @ 30-60 FPS without specialized vision sensors |
| Edge Appliance Hardware | NVIDIA Jetson AGX Orin / RTX 4090 / Industrial Edge Servers | Supports 4 to 16 concurrent workstation camera feeds per appliance |
| Factory Integrations | OPC UA, Modbus TCP, MQTT, PROFINET, REST API, Digital I/O | Bidirectional sync with Siemens, Rockwell, SAP MES, and ANDON screens |
| Data Security & Privacy | 100% On-Premise Execution, Local Network Storage | Zero external cloud reliance, automated operator facial blurring |
Learn how YAFE's computer vision system automates live cycle time tracking, manual assembly step sequence validation, and shop floor Poka-Yoke error-proofing.
Live cycle time tracking is the continuous, real-time measurement of the duration required for an operator or workstation to complete standard assembly processes. YAFE automates this using overhead industrial cameras and computer vision, recognizing micro-movements, parts pick-up, tool usage, and component placement to record millisecond-accurate cycle times without requiring stopwatches or manual operator logging.
YAFE utilizes spatio-temporal AI models to detect hands, tools, bin compartments, and workpieces in 3D space. The vision AI compares the chronological sequence of worker actions against configured Standard Operating Procedures (SOPs) to ensure every screw, gasket, and wire harness is placed in the exact required order.
Yes. When an operator skips a mandatory step, picks from an incorrect component bin, or fails to torque a fastener, YAFE instantly triggers a Poka-Yoke visual alert on the workstation monitor, sounds an audio buzzer, or locks downstream conveyor gates to prevent non-conforming assemblies from advancing.
By continuously comparing live workstation cycle durations against configured takt times, YAFE immediately flags stations operating slower than designed pace. Plant supervisors receive real-time alerts identifying micro-stoppages, tool searching delays, or material shortages, enabling rapid line rebalancing.
YAFE natively integrates via standard industrial protocols including OPC UA, MQTT, REST Webhooks, and Modbus TCP. It synchronizes with MES systems to tie live cycle times to specific serial numbers, and can automatically advance digital work instruction screens as operators complete each validated physical step.
No. YAFE is architected with strict Privacy-by-Design principles. The overhead cameras focus solely on the workstation surface, hands, and tooling. All video processing occurs 100% on-premises on local edge servers with zero external cloud transmission, and automated facial blurring can be enabled to protect operator privacy.
Zero cloud dependencies. Your visual data stays 100% inside your factory firewall.