Edge AI is a combination of Edge Computing and Artificial Intelligence.
Edge AI’s potential use cases are almost limitless; the application for this technology varies from production lines, security infrastructure, logistics, and smart cities.
Multiple techniques are used to bring together data collection, analysis and processing to the “edge” of your network.
Artificial Intelligence (AI)
The simulation process of human intelligence includes learning, reasoning and self-correction by machines and computer systems. Real-time computing of multiple locations & streaming data are easily processed & analysed by Edge AI, leading to quick turnaround times on business decision-making.
Video AI is providing Africa’s 1st cutting edge managed AI services for video analytics.
inq.’s Video AI Platform allows enterprises to use artificial intelligence to get detailed analytics to deploy, manage and monitor alerts across multiple regions. This provides quick, actionable intelligence for your existing surveillance camera systems.” And then remove this section from the right side.
– Real-time automated processing of data using Artificial Intelligence
– Elimination of staff workload (Security Officers) spent on reviewing video feeds
– Dashboard to monitor events in real-time (inq. Control Platform)
– Customised reporting of events
– Actionable insights to improve customer experience
How can we support your business:
– Detect infringements
– The ability to flag safety issues in real-time
– Ensure compliance of policies
– Analyse data intelligently
– Infer from data analysis
– Centralised analytics for existing or new surveillance systems
– Proactive response to business issues
Compliance as a Service:
inq. Video AI Compliance as a Service allows you to convert your existing surveillance camera infrastructure into detecting various compliance and safety issues across your organisation using Artificial Intelligence.
Intelligent Perimeter Security:
inq. Intelligent Perimeter Security addresses challenges such as pilferage, transaction discrepancies as well as dwell time. It is also able to analyse the presence and coverage of security officers on your premises for extra security.
inq. Retail Analytics solution provides real-time analytics about your premises such as crowd management, demographics, public health, customer experience, aisle heat maps, attendance and workforce management by utilising simple surveillance camera footage.
The inq. Doc AI Platform allows businesses to digitise their manual processes.
Users can use inq.’s area-specific deep learning optical character recognition (OCR) to upload scanned documents or images of any type and extract the required fields and map them into an excel file or database. This platform has an inbuilt machine learning engine for continuous learning and an AI engine for predictive analysis hence continuously improving the accuracy of the extracted data. The service supports various documents and use cases, helping organisations understand, process, and manage their large amounts of unstructured data.
inq. Intelligent Docs provides a system that can execute the following:
Extract relevant information as key values or tables if required
Provide a document visibility score
Provide confidence in the extracted OCR
Can be exported via API or can be integrated into existing ERP solutions
inq. Intelligent Docs is designed to help organisations automate document processes and find insights throughout their large volume of documents.
Frees up teams to do higher-value work activities.
Flexible payment options ( Flat fee or per document) depending on the need
Add on’s with customisation for providing implementation and integration into existing systems.
Continuous training to keep updating the AI for higher accuracy.
Provides relief to users/analysts/managers by increasing efficiencies and reducing process redundancies.
Allows the organisation to go beyond OCR-based template methods and RPA-based memorisation efforts, which are not scalable as the variety and volume of documents changes.
Quicker Time to Value:
Organisations can focus on quicker time to value for primary users and secondary consumers by focusing on developing applications and faster integrations using highly accurate extracted information and knowledge (as opposed to updating rules, re-automating template management, and moving documents).