Uncovering Operational Blindspots
Lack of on-ground operational visibility such as safety hazards, worker inefficiencies, product quality challenges, customer journey interactions, inbound-outbound goods mishandling leads to inefficiency and loss in productivity
Enabling Vision AI based Contextual Intelligence
Turn live data streams from IP cameras, sensors, web, and applications into structured data, analytics, alerts, and valuable information. Exceed human capabilities with increased speed, accuracy, reliability, cost efficiency, and compliance.
Sense
Processes video, image, audio, or telemetry data in real-time
Analyse
State-of-the-art deep learning models and customisable dashboard with automated alerts
Optimise
Optimise core business processes, metrics & build new capacity
Explore our ready-to-use AI solutions
PPE Gear Compliance
Vision AI monitors real-time footage to ensure employees wear proper safety gear, enhancing workplace safety and regulatory adherence.
Safety incident rate reduction, compliance rate improvement, and decrease in workplace injuries
Loitering & Intrusion Detection
AI algorithms analyze surveillance feeds to identify unauthorized presence or loitering in restricted areas, triggering instant alerts.
Reduction in security breaches, and faster response time to incidents
Forklift Safety & Early Warning
Utilizes AI to detect unsafe forklift operations and proximity risks in warehouses, providing early warnings to prevent accidents.
Improvement in operational safety, and enhancement of preventive action measures
Queue Analytics
Analyzes customer wait times and queue lengths, optimizing staff allocation and improving customer service efficiency
Reduction in average wait time, improvement in customer satisfaction scores
Demographics Analysis
Identifies age, gender, and other demographic factors in crowds, informing targeted marketing strategies and product placements
Enhancement in marketing ROI, increase in customer engagement rates, and accuracy in target market identification
Sentiment & Emotion Analytics
Evaluates customer reactions and emotions in real-time, providing insights into customer satisfaction and experience
Improvement in customer satisfaction index, increase in positive feedback, and enhancement of brand loyalty metrics
Customer Journey Analytics
Tracks customer movement and interactions across the store, optimizing layout and product placement for enhanced experiences.
Increase in store conversion rates, enhancement of customer retention, and improved in-store navigation satisfaction
Shelf & Dwell Time Analysis
Monitors how long customers spend at specific shelves, aiding in product interest assessment and shelf space optimization.
Optimization of product placement, increase in sales for high-interest items, and improved customer engagement with products
Out of Stock Alerts
Automatically detects and alerts on low or out-of-stock conditions, ensuring timely restocking and minimizing lost sales opportunities.
Reduction in stockout incidents, improvement in inventory turnover ratio, and increase in customer satisfaction
Workplace Safety
AI monitors compliance with safety protocols, identifying potential hazards and ensuring a safer working environment.
Reduction in workplace accidents, decrease in safety violations, and improvement in compliance rates
Visual Inspection
Automates the inspection process for manufacturing lines, detecting defects and inconsistencies to ensure product quality
Increase in defect detection accuracy, reduction in manual inspection costs, and improvement in overall product quality
Activity Monitoring
Tracks and analyzes activities in real-time for operational efficiency, security surveillance, and behavioral insights.
Enhancement in operational efficiency and improvements in time management and resource allocation
Attentiveness
AI assesses how focused individuals are on tasks or content, enhancing engagement strategies and learning experiences
Improvement in engagement rates, increase in content retention, and enhancement of participant satisfaction
Emotions
Analyzes facial expressions to gauge emotional responses, providing insights into user satisfaction and experience
Enhancement of customer experience scores, increase in positive sentiment analysis, and improved personalization of services
Eye Gaze Monitoring
Tracks eye movements to understand where and what captures a person's attention, optimizing content and interface design
Optimization of UI/UX design, improvement in content placement effectiveness, and increased user interaction rates
Vehicle Movement & Traffic violations
AI detects vehicle flows and identifies traffic violations, enhancing road safety and compliance with traffic laws
Reduction in traffic violations, improvement in traffic flow efficiency, and decrease in accident rates
Visual Pollution Analytics
Monitors environmental aesthetics, identifying areas of visual pollution to guide urban planning and cleanliness efforts
Increase in cleanliness index scores, improvement in public satisfaction and enhanced effectiveness of urban planning
Abnormal Crowd Behaviour
AI analyzes crowd dynamics to identify unusual behaviors, aiding in early response to potential public safety incidents
Reduction in response times, decrease in crowd-related incidents, and improvement in public event safety management
Enhanced with Vision GPT
AI Interactive Search
AI based Interactive Video search leveraging Gen AI. e.g. “Find me a scene where a person is wearing a red shirt and laughing"
AI Video Summarisation
Automatically summarise extensive hours of footage, focusing on significant events of interest or anomalies
Product Highlights
No-Code, Ready-to-use solution that runs on Robust Video Infra at-scale and seamlessly integrates with your existing systems
Go Live in minutes. Simply connect video source to Vision AI systems and start generating live AI Analytics.
Runs every where at scale - Cloud Based, On-Premise, Embedded
Fast processing, stable and scalable systems built on open technology
Easy End-to-End workflow customisation
AI/ML Models optimised to run efficiently on the edge devices and provide real-time insights
Deploy AI models to the network edge, fully unleashing the potential of the edge analytics for business transformations
Low latency, improved privacy & security
Reduced total cost of operations
Edge devices such as mobile phones, drones, robots, security cameras etc
Driving 95%+ accuracy on target use cases with active learning technology
We strive to give you highly accurate and reliable systems with explainable components. A system you can trust for live operations
Faster Feedback Loops
Custom Datasets & live annotations
Advanced strategies such as multi-camera tracking, image enhancement
Re-use your existing infra. Open systems architecture works on standard based interfaces
Leverage your existing setup whether its live video streams, recorded video through VMS or even a mobile phone that streams video
Real-time telemetry streams on RTSP, MQTT
Cloud Native and agnostic to any compute
Privacy Preserving
Visualise Real-time intelligence through pre-configured or customised analytics dashboards
Convert your live video stream into structured data, recognise & categorise entities, discover associations, detect anomalies and predict events 100x faster
Simple-to-understand actionable dashboard
Beyond human-eye capabilities
Automatic extraction of relevant frames
Connect Any Visual Input
Any Visual Input - Images, Video
Activate AI Solutions
Fine tune AI solutions for the specific use cases
Receive Analytics
Start getting Analytics and Alerts on Dashboard
Optimise your Process
Measure and Improve your business metrics
Loading SOP Monitoring
Intrusion Detection
Spill Detection
Emotion Analysis
Customer Journey Maps
Safety PPE Check
Business Impact with new-age metrics
Improves Productivity
Lowers Human Error & Cost
Uncovers User Journeys
Enforces Operating Standards
Affiliations
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Frequently Asked Questions
Yes you can re-use your existing video infrastructure or systems. The systems connects to the source on RTSP streams and analyses the frame rate, image quality, field of view and lighting conditions
System works on both on-premise server (CPU), Edge (CPU, GPU) or on Cloud (CPU) to optimise the cost and model performance
Once the data source is received, it takes a few hours for ready-to-use solutions and 2-3 weeks if the solutions needs to be customised/retrained