about us
R&D LAB
WE ARE A TEAM OF PROFESSIONALS SKILLED IN:
• MACHINE LEARNING • COMPUTER VISION
• ARTIFICIAL INTELLIGENCE
• MECHATRONICS
• EMBEDDED SYSTEMS
CLIENTS CAN TRY THE TECHNOLOGY AND TEST QUICKLY DIFFERENT SOLUTIONS WHILE VALIDATING DIFFERENT HYPOTHESES DURING WEEKLY SPRINTS WITH FLAT PRICING AND DO RAPID PROTOTYPING OF CUSTOM SOLUTIONS BASED ON A PROPRIETARY LIBRARY OF TEMPLATES.
A3 MEMBER
A3 ASSOCIATION FOR ADVANCING AUTOMATION
- ROBOTICS EXPERT
- FEASIBILITY STUDY FOR ADVANCED AUTOMATION OPPORTUNITY OF MANUAL HANDLING OPERATIONS
- EMPOWER COMPANIES TO EMPLOY COMPUTER VISION AND AI CAPABILITIES
- SUPPORT DATA-CENTRIC AI APPROACH
- MAKE THE TECHNOLOGY AFFORDABLE AND EXPLAINABLE.
our projects
LeanProcess.AI
LeanProcess.AI
LeanProcess.AI
VIDEO-BASED PROCESS DIGITALIZATION. AUTOMATE TIME STUDIES
ZEROTOXVINE
LeanProcess.AI
LeanProcess.AI
100% NON-CHEMICAL ROBOTIC SOLUTION TO ELIMINATE WEEDS AND PESTS IN VINEYARDS
LEANPROCESS.AI applications
Quality assurance
Quality assurance
Quality assurance
CHECK REMOTELY IF WORKERS FOLLOW THE PROTOCOL
Event detection
Quality assurance
Quality assurance
INSTANT SEARCH OF RARE
EVENTS IN LONG VIDEOS
Incident prevention
Equipment monitoring
Equipment monitoring
IDENTIFY AND ALERT DANGEROUS BEHAVIOR OF THE STAFF
Equipment monitoring
Equipment monitoring
Equipment monitoring
REMOTE OBSERVATION OF ASSETS WITHOUT INFORMATION LOSS
LEANPROCESS.AI use-cases
order fulfilment
Parcel sorting line
Parcel sorting line
OBJECTIVES:
- IDENTIFY NON-VALUE-ADDED OPERATIONS
- COLLECT ASSET USAGE PATTERNS
- TRACK MOVEMENTS OF EMPLOYEES IN WORK
- DETECTION OF OVERSIZED PACKAGES
- DETECTION OF NON-STANDARD CASES
- WORKPACE ERGONOMIC ASSESSMENT
Parcel sorting line
Parcel sorting line
Parcel sorting line
OBJECTIVES:
- COUNT OF PARCELS SORTED BY EACH WORKER ON SHIFT
- ESTIMATE CONVEYOR UTILIZATION
- DETECT REPEATABLE BASE SCENARIOS OF EMPLOYEE'S INTERACTION WITH EQUIPMENT
- MEASURE CYCLE TIME
- DETECT PRESENCE OF EMPLOYEE ON WORKING PLACE
- DETECTION ACCURACY 90% AND HIGHER
conveyor line
Parcel sorting line
conveyor line
OBJECTIVES:
- DETECT THE PRESENCE OF EMPLOYEE IN THE WORKPLACE WITHOUT IDENTIFICATION
- DETECT EMPLOYEE's POSTURE CHANGES OF (MOTIONLESS, WALKING)
- IDENTIFY OPERATIONS BY CHANGES IN THE POSTURE
- WORKPLACE ERGONOMIC STUDY
- TRACKING EMPLOYEE MOVEMENTS
- DETECT OF NON-STANDARD CARGOES
LEANPROCESS.AI VIDEO-BASED PROCESS DIGITALISATION
video player
Data extraction
Data extraction
- CONDENSED VIEW OF THE PROCESS IN THE FORM OF DASHBOARD
- INSTANT VISUAL VERIFICATION OF RECEIVED DATA WITH EVENTS ON A RECORD
- EACH DATA VALUE IS SUPPORTED BY A VIDEO CLIP
- ENABLES INTELLIGENT VISUAL MONITORING, EVENT SEARCH
- GDPR COMPLIANT BY DESIGN
Data extraction
Data extraction
Data extraction
- RICH AND UNBIASED DATA ABOUT THE PROCESS
- CSV FILE WITH A DETAILED COUNT OF OBJECTS AND OPERATIONS PROCESSED BY EACH EMPLOYEE
- MINIMAL TIME FOR DATA EXPORT 5 MIN
- API FOR INTEGRATION WITH ERP, WMS etc
Virtual cockpit
Data extraction
Virtual cockpit
- REMOTE ROBOT PILOTING
- REAL-TIME CORRECTION OF DETECTION/ RECOGNITION ERRORS IN MACHINE LEARNING MODEL
- TRACKING TELEMETRY AND ROOT-CAUSE ANALYSIS OF ACCIDENTS