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AI and subsidiary technologies have the potential to decrease labor management costs by 25% whilst increasing operational efficiency by 16% due to effective monitoring and real-time insights that boosts planning
Most Common Challenges in Manufacturing Industry
The automated monitoring system modernizes manufacturing workplaces by using real-time data with video analytics for driving a true data-driven process to propel competitiveness by improving productivity with a simultaneous enhancement of workplace safety.
Accurate than Human Monitoring
Reduction in Workplace Accidents
Faster & Error-free Operations Post-implementation
Areas of Application
The smart AI navigation system offers extremely granular insights in jobsites by transforming vision to practical actions with the proprietary video analytics solutions.
The smart AI Monitoring system instantly alerts the on-site & off-site stakeholders of instances of workers’ not wearing (proper) PPE to take necessary action on-time
Forklift Safety Alerts
The AI navigation system monitors forklift operations like, driving speed & turn frequency, overload, collision to detect and alert forklift collision accidents
Fire & Smoke Detection
The AI-powered cameras detects and alerts smoke & fire at the very onset to prevent it from causing catastrophic damage
Damaged Product Detection
The AI video analytics can detect any damaged product in the inventory and instantly alert concerned stakeholder to replace/remove it
Worker-Machine Proximity Detection
The powerful video analytics detects any worker standing/working too close to operating machines and sends out alerts to prevent collision accidents
Conveyor Belt Breakdown/ Blockage Detection
The AI-powered navigation system detects instance of conveyor belt breakdown/ blockage to fix it on-time to ensure smooth flow of assembly-line work
Driver/ Operator’s Distraction Detection
The dynamic AI Monitoring System tracks and monitors operator’s/ driver’s behaviour, like their inattentiveness while operating vehicles/machines to avoid accidents
Automated Fleet Tracking
Real-time GPS fleet tracking of vehicles carrying goods from manufacturing unit to warehouse ensures safety and optimizes fleet operations
Unauthorized Intrusion Detection
Instant alerts are sent out as soon as any intruder enters an unauthorized area
Instant and real-time alerts are sent out (to on-site & off-site stakeholders) as soon as any incident of theft takes place to take instant action on the case
Automated Product Counting in Assembly Line
The smart video analytics system counts the number of product in the assembly line and the data is saved in the integrated dashboard, facilitating auto-record keeping
Automated Stock Alerts
Computer vision detects objects to track stock andidentifies empty space in the shelves, and/or locates empty containers and sends out automated alerts each time new stock needs to be replenished
Machinery Fault Detection
The dynamic AI monitoring system can detect various faults/errors in the machinery for their instant repair to uphold machinery productivity in the jobsite
Automated Housekeeping Management
The intuitive dashboard records insights on various aspects of housekeeping management for stakeholders to view them anytime & from anywhere
Unique Value Prepositions
Edge AI Benefits
Highly deployable AI on Cloud, On-Prem & Hybrid modes with above 90% accuracy in real industrial condition to scale jobsite safety with cost effectivity and data privacy.
Plug & Play Facility
No-code AI for industrial level deployments with minimal requirement of technical knowhow to drive efficacy and agility with lower deployment costs.
Cross Platform Integration
Integrate multiple data source or service with extensibility at each point: AI modules, hardware, cameras, and applications to boost effective management.
Secure AI deployments with advanced authentication and encryption along with the privacy preserving AI from cloud to edge to mitigate security issues.
Responsible vision intelligence with restricted access to system and data transfer adhering strictly to data protection and privacy regulations by GDPR.
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