AI System
Smart Sensors
About us
Driving Saudi industrial growth through AI automation, smart systems, and innovative technology.
Our AI-driven conveyor solution integrates LiDAR, computer vision, and predictive analytics to deliver real-time monitoring, safety automation, & zero-downtime performance. Built for Saudi SMEs, it provides scalable, affordable industrial intelligence that enhances productivity, reduces risks, & modernizes operations with e automation.
Our Solutions
Intelligent Conveyor Solution
Our Intelligent Conveyor Solution leverages LiDAR, vision sensors, and edge AI to optimize industrial operations, minimize downtime, and improve overall efficiency. It provides actionable insights, ensures operational continuity, and enhances safety across small and medium-sized conveyor systems.
- Blockage Detection
- Overload Alerts
- Belt Misalignment Identification
- Roller Condition Monitoring
- Object Tracking & Sorting
- Safety Intrusion Alerts
- Throughput Analytics
- Maintenance Scheduling & Reminders
1. LiDAR Mapping
Provides 2D/3D environmental scanning for object detection, material volume measurement, & precise conveyor activity monitoring.
Visual Inspection
High-resolution cameras detect anomalies, misalignments, jams, operational inconsistencies through real-time image analysis.
System Architecture
Solution combines sensing, edge computing, cloud analytics, automated alerts.
Conveyor Deployment
Implementation Process
Step 1: Conveyor Assessment
Assess conveyors, identify risks, and determine exact sensor placements for installation.
Step 2: AI Calibration Tuning
Tune AI models, test environment, and validate detection accuracy for reliable performance.
Step 3: Hardware Installation
Install LiDAR units, cameras, and edge AI devices correctly for optimal operation.
Step 4: System Launch
Enable dashboards, KPIs, alerts, and performance monitoring for real-time operational visibility.
Popular Questions
Frequently Asked Questions
01QUESTION-01
Which industries and businesses can benefit from this solution?
This solution is designed for small and medium enterprises across logistics, warehousing, manufacturing, mining, FMCG, and distribution. It scales to existing operations, retrofits onto traditional conveyors, and provides advanced intelligence, monitoring, and predictive maintenance without the need for costly equipment replacements or extensive system modifications.
02QUESTION-02
How does this system enhance operational efficiency in conveyors?
By combining real-time monitoring, predictive maintenance, and automated alerts, the system detects blockages, misalignments, and component wear. It prevents downtime, ensures smooth material flow, and provides data-driven insights via dashboards, allowing managers to optimize conveyor throughput, reduce reactive maintenance, and increase overall operational efficiency effectively.
03QUESTION-03
Can this system integrate with existing conveyor infrastructure effectively?
Yes, the solution is designed for seamless integration with existing conveyors without major modifications. SMEs can deploy it quickly using scalable hardware and cloud-based analytics. It works alongside current equipment, providing intelligent monitoring, predictive insights, and automation features while avoiding costly replacements, enabling affordable and efficient operational improvements.
04QUESTION-04
How is the Intelligent Conveyor Solution implemented in operations?
Implementation follows a structured process: site analysis to assess conveyors, AI calibration to validate model accuracy, hardware installation of LiDAR and cameras, and system launch with dashboards, KPIs, and alerting. This methodology ensures minimal operational disruption, accurate setup, fast deployment, and reliable, high-accuracy performance across industrial environments.
05QUESTION-05
How does predictive maintenance function within this system?
AI models continuously analyze motor health, belt wear, roller behavior, vibration, and operational trends. The predictive engine forecasts failures, generates proactive maintenance alerts, and recommends interventions before issues occur. This minimizes downtime, prevents costly repairs, extends equipment lifespan, and ensures consistent operational efficiency and reliability across industrial conveyor systems.
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