EDGE AI Computer Vision

AiFA makes superhuman recognition systems that disrupt existing processes. Our software orchestrated, robust, edge-optimized Ai Camera systems accurately recognize objects and activities across many enterprise use cases to deliver insights and actions.

What Is Computer Vision?

Computer vision is an interdisciplinary logical field that arrangements with how Computers can acquire undeniable level comprehension from advanced pictures or recordings. According to the viewpoint of designing, it looks to comprehend and computerize undertakings that the human visual framework can do.

Computer vision

How EDGE AI Works

Edge AI has designed, prototyped, and produced in limited runs through manufacturing partners – the robust edge device, the camera module, illumination system, power supply system, peripherals, and firmware to control these items.

Edge AI‘s optimized algorithms have proven themselves in the real world. AiFA has run software on these devices in several use cases and have delivered near 100% accuracy in recognizing objects and activities.

Edge AI’s Orchestration software efficiently manages users, devices, algorithms, artifacts, and actions. With an API-first, tightly integrated offering, we make it easy to install, integrate, operate, scale and upgrade.


Digital Video Processing & Management

Developed digital video logistics, storage, play listing & display platform for advertising in cinemas and signages.

Acquired customers like IBM, TCS, Airtel, Kinetic, Reliance for digital video related software.

AI Analytics & Autonomous Devices

Pivoted from digital video logistics to digital video analytics as market potential was enormous, demand is agnostic to cyclical variations, and the need is global.

Started building Autonomous Vision System hardware to meet the needs of high end vision Ai. Extended application to adjacent markets as they are severely under served.

With clients from USA, Japan and India – the company addresses the needs of high end, multispectral, mission critical autonomous vision requirements.

Business Model Transformation

Business model transformations focus on the basic building blocks of how value is delivered in a specific industry. For example, companies are using digital transformation to change traditional business models. Netflix's redesign of video distribution is a classic game changer.

Domain Transformation

Forward-thinking into a new market domain with the existing resources and expanding to future needs is Domain Transformation. Cloud computing companies such as AWS are a clear example of how they marched into cloud computing from simple online selling businesses.

Integrated Devices - Sensors + Compute + AI

EdgeAi Cam

EdgeAi Cam XT

EdgeAi Cam Ultra

Multiple sensors – video, audio mic, gps, motion
Illumination – IR, LED
Integrated power management, battery backup
On-board compute – integrated CPU, GPU
Ports for local connectivity to external devices
AI inference models
Comprehensive software modules to manage sensor pipeline, alerts, media artifacts, API interface

Technology Capabilities

Artificial Intelligence
Video HW & SW
Enterprise SW

Representative Solutions


Automotive Inspection

  • Check homologation (Language, Correct Sticker)
  • Check for presence or absence of connectors / bolts.
  • Check for over machined bolts / screws
  • Check for type of number plates used (based on model and delivery location)
  • Check for scratches / dents on the vehicle body
  • Check alignment of key components
Visual recognition

Visitor Tracking, Audience Measurement

  • Video analytics for a large consumer expo event
  • 150,000+ visitors over 5 days
  • Measured visitors, dwell and gaze time
  • Determined which exhibits generated more interest for the visitors
  • Helped the client test alternate models, assess
  • Customer interest and launch the correct models for the market
Driver monitoring

Driver Monitoring, Vehicle Safety

  • Camera mounted on vehicle dashboard to monitor driver to detect fatigue (yawning, blinking, nodding) and distraction (looking away, using mobile)
  • Real time alerts served through sounds, audio messages, buzzer
Traffic monitoring

Traffic Monitoring, License Plates, Container Numbers

  • Real time analytics at the edge to detect and recognise license plates and container numbers
  • Multiple cameras to read numbers on different sides of the container and reconcile the numbers to increase accuracyt
Face recognition

Face Recognition, Analytics

Our state of the art face analytics engine delivers very accurate face recognition and analyses facial attributes to classify by age, gender, detection emotions, track gaze and head position, detect usage of mask, eyeglasses, helmet etc

Contactless operations

Contactless Operations

  • Confirm person is wearing mask and PPE
  • Recognise people even when wearing mask
  • Support contactless operations using gestures and audio inputs

ViSRUPT: Shaping Modern Work With Superhuman Recognition

The intersection of Ai based vision analytics and edge processing devices and software driven devices provides enterprises with new capabilities to enhance their operations in the field – serving customers in stores, service centers, quality inspection of products in plants and warehouses, managing safety and operations of vehicles, remote infrastructure etc.

By introducing the capability to detect, classify, recognize, track different objects and activities in real time 24 x 7, enterprises can drive significant value out of their current processes related to how they serve customers, how they enhance employee productivity, how they reduce leakages and defects in products and service delivery and how they ensure safety and good operations of their assets, premises, infra.

AiFA brings these key technology capabilities in a tightly integrated, resilient and easy to deploy and operate solution. Our solution makes it easy for enterprises to onboard these next gen technologies.

Face reading


Use of raw signals for analytics – uncompressed, more accurate.
Al algorithms not just for analytics but for image processing to improve the signal capture system at source
Power management, mechanical design optimised for field performance
Flexible/ elastic both software and hardware easy to onboard new software algorithms as well as easy to integrate with external devices
See in the dark, Optical zoom with digital, removal of PTZ, Eventual removal of ISP layer, Fusion of multi-spectrum sensors, new optics, synchronised lighting etc. are some of the hidden advantages.

Solution Stack

Al algorithms-face recognition, Indian number plates, container numbers, object classification, motion analysis.
Pipeline management – in-device to manage different sensors
Dockers and containers for easy deployment and update
Video and media logistics encode, decode, encrypt, ship, archive, retrieve

Edge AI's Solution Stack

By working with many sensors and many algorithms, the 360° situation awareness allows for better inference and intelligent and instant actions. All the algorithms have been trained with own, generated and standard data sets. The fine tuning of the algorithms and its weights have allowed for better accuracy.

Finally all the algorithms have been optimized to run on the target architecture – thus ensuring speed and cost advantage.

Ops command in Cloud
Data Visualizer
Knowledge repository
AI at Edge
Artifacts manager
Action trigger
Inference engines
Optimized AI algos
Device On Ground
Purpose designed
Resilient architecture
Multiple actuators
Multiple sensors

Process chain at a warehouse (with AI models)

Our solution comes with readily available & minimal efforts Ai models for process chain at warehouse. Sensor fusion (RFID, Barcode, Weighing machine & Microphone integration) will cove many of the requirements

Flow of
Stocking of
Safety EQPMT
Process chain at warehouse