Our Solutions

Analyze & process data to support a variety of commercial applications like security, surveillance, automation & provides agile work environments.

Drone in a Box

1. Auto Landing
Aiotize precision landing technology enables drones to autonomously and accurately land on the Charging Pads or Docking Stations.

2. Fast Charging
Drone-in-a-box solutions securely store the drones and charge them to prepare for the next autonomous BVLOS mission.

3. Unlimited Range
The connectivity over 4G/LTE/5G enables the remote drone operators to manage and control a fleet of drones and docking stations in real-time from a distance through the cloud.

4. Live Video Streaming
Subject Matter Experts (SMEs) can see the live status of the fleet, analyze real-time video feed from the drone cameras, access device status, battery and charging data, and make use of advanced drone battery features.

drone in box
Ai Powered Drones

1. Video Analytics
A layer of smart analytics is attached on the Drones through cloud connectivity, where the Analytics is applied on real-time video received from the drones.

2. Sart dashboard
The Smart dashboard provided onto the cloud based analytics platform gets the video and the data inferencing i.e. analytics is applied there itself.

3. Data Management
Drones generate vast amounts of data, which is usually in the form of images or video streams. Identification of objects of interest, counting them, or detecting change over time, are some of the tasks that are monotonous and labor intensive.

ai powered solution
Drones for Precision Agriculture (Agri Drones)

Agriculture is in the middle of a revolution of sorts, brought on by technology that is increasing yield while decreasing production costs. It’s all part of precision agriculture, a move to give farmers never-before achieved visibility over their assets. For some farmers, drones already are playing a major part in increasing revenue.

Using the Smart Agriculture Cloud Platform and cloud-based mapping, making it simple to get started with digital agriculture.

Used to spray solid particles or plants, and is appropriate for a variety of operations including rice seeding, prairie reseeding, oil seeding, fertilizer distribution, and more.

Aids in the visualisation of construction plans, the use of the GIS system for property management, the recording of changes in field conditions, the generation of basic maps for precision agriculture, and the creation of a reference for field construction and planning.

Increased Yields

Find potentially yield limiting problems in a timely fashion.

Saved Time

While all farmers know the value of scouting their crops, few actually have time to cover the acres on foot.

Integrated Geographic Information System Mapping

Draw eld borders for flight pattern.

Crop Health Imaging

Seeing the true health of the eld in a color contrast allows the ability to see how much sunlight is being absorbed by the crop canopy.

Low-Cost Aerial Camera Platform

A drone’s software plans the flight path, aiming for maximum coverage of the growing areas and controls the camera to optimize the images for later analysis.

Drones for Deliveries

Delivery drones or unmanned aerial vehicles are pilotless aircraft carrying packages to a designated area.

These flying bots generally have 4 to 8 propellers and rechargeable Li-Po batteries to generate thrust.

The delivery drones are autonomous or remotely controlled through a ground controlled station.

Drone operators can monitor multiple flying bots at once keeping track of every package delivered.

ai powered solution
Indoor Operating Drones powered by ROS

Industry-specific robots perform several tasks such as picking and placing objects, and movement adapted from observing how similar manual tasks are handled by a fully-functioning human arm.

Such robotic arms are also known as robotic manipulators. ROS is ready for use across a wide array of robotics applications, from indoor to outdoor, home to automotive, underwater to space, and consumer to industrial.

Robot Operating System [ROS]

The Robot Operating System (ROS) is a set of software libraries and tools that help you build robot applications. From drivers to state-of-the-art algorithms, and with powerful developer tools, ROS has what you need for your next robotics project. And it's all open source.

For over 10+ years the ROS project has produced a vast ecosystem of software for robotics by nurturing a global community of millions of developers and users who contribute to and improve that software. ROS is developed by and for that community, who will be its stewards into the future.

Drone as a Service – Drones on Demand

1. High Range

Aiotize drones provide more than enough time to compose the perfect in-air delivery, with a maximum battery life of 50 minutes.

2. Payload Capacity

It can easily carry up to 5 kg of payload at a top speed of 60 km/h.
Flies at a maximum altitude of 400 meters, ensuring that your footage remains stable even when in the air.

3. Advanced technology

It can easily carry up to 5 kg of payload at a top speed of 60 km/h.
Flies at a maximum altitude of 400 meters, ensuring that your footage remains stable even when in the air.

drone as a service
RealTime Video Analytics

- Applying A.I. algorithms to your live video streams

Applying AI algorithms to your live video streams

We take all the live video streams from the client side along with any static images as input to form a combination of data sources for the platform (Cognixa engine).

These video streams could comprise of HD cameras, IP (Internet protocol) connected cameras, video streams from drones, connected robots and mobile devices.

These video streams are fed into our AI engine in order to deliver insights that are beyond what the human eye could see.

Smart Assistance

By applying a layer of AI, the platform acts as a smart assistant that equips your organization with the right set of information and key insights to drive down costs, increase accuracy, improve safety and reduce the turnaround time to resolve any organizational abnormalities or issues.

RealTime video analytics
RealTime asset management

-To recognize, categorize and annotate assets.

To recognize, categorize and annotate assets.

Applying A.I. algorithms to your live video streams to recognize, categorize and annotate various assets.

Unstructured data can be converted into insights using Machine learning and Faster decisions could be made based on the insights generated by the various operations such as object recognition and tracking, vision based asset management and predictive analytics based on those assets subjected to various time frames.

From the notifications provided by the platform, the whole real time analysis could be live streamed and viewed anywhere across the globe, Automatically extract clips or highlights from within the platform and visual trends can be viewed based on historical data.

RealTime asset management
3D object detection and tracking

-Our object detection methods generate 3D mesh models

Our object detection methods generate 3D mesh models

Orthomosaics, point clouds, and immersive Virtual Reality environments from the various video sources.

Point clouds are used in 3D modeling to generate accurate models of real-world items or scenes. This technology is in high demand for computer graphics, VR, and communication.

Our Computer Vision developers and infrastructure architects will help you generate immersive 3D models of the physical world easily and with great speed.

3D object detection and tracking
SLAM Using Drones

SLAM, which is also used extensively in augmented/virtual (AR/VR) reality applications.

It uses a variety of sensing and localization techniques such as lidar mapping, GPS positioning and 3D depth cameras for perception, recognition, detection, tracking etc.

Visual SLAM, one of the subsets of SLAM in general, relies solely on cameras, and is among the most preferred methods for unmanned aerial vehicles (UAVs).

The goal of SLAM is to provide a continual estimate of where a moving, autonomous vehicle is located along its sense of direction within its environment, both vertically and horizontally, while also constructing a 3D map as the robot navigates through its environment.

SLAM using drones
Warehouse surveillance and management

-Enable your warehouse to perform smarter, streamline business processes and maximize space utilization

These days, warehouses are more than a storage and inventory facility. Thus, a lot of organizations are investing in IoT-enabled warehousing for better automated control systems (ACS) and warehouse management systems (WMS) to improve their operational efficiency by reducing costs

Our Smart Warehouse Monitoring solution enables the real-time monitoring of warehouse assets/images/equipment by offering real-time transparency and traceability of all goods across different locations.

The gathered data generate meaningful insights regarding inventory and storage status and provide stock visibility. It helps a warehouse operator to prevent inventory shrinkage and increase worker safety. Also, such valuable insights help in optimizing the storage location, pallet journey, warehouse throughput and workforce.

Warehouse surveillance and management
Human Activity Recognition

Human Activity Recognition (HAR) has been a challenging problem yet it needs to be solved. It will mainly be used for eldercare and healthcare as an assistive technology but at the same time shall be used for security and surveillance services as well.

When ensembled with other technologies like the Internet of Things(IoT), HAR can be done with the help of sensors, smartphones or images.

Human Activity Recognition
Multilingual OCR

The most important thing to look for in an OCR tool is accuracy, because this determines the extent to which you can rely on your results. A highly accurate OCR solution eliminates the need to double-check your results, and enables you to have high quality, reliable documents whenever you need them. OCR tools vary significantly in the level of results that they deliver, so you should be sure to opt for a professional-level solution.

Cognixa engine is potentially optimal for most of the OCR needs. This fast, accurate solution supports OCR in over 60 languages, equipping you with the tools that you will need to tackle any document.

Multilingual OCR
Image Segmentation & Crowd Density Estimator

A fast method has been developed to estimate crowd density using a reference image with only background to classify pixels in a crowd image by subtraction as belonging to either pedestrians or background.

Figure 2 shows a result image from Figure 1 which is a typical crowd image from one investigated site called “Site1”

Image Segmentation & Crowd Density Estimator
Autonomous vehicle simulator

Autonomous vehicle simulator systems are developed to automate/adapt/enhance vehicle systems for safety and better driving. Safety features are designed to avoid collisions and accidents by offering technologies that alert the driver to potential problems, or to avoid collisions by implementing safeguards and taking over control of the vehicle. Adaptive features may automate lighting, provide adaptive cruise control, automate braking, incorporate GPS/ traffic warnings, connect to smartphones, alert driver to other cars or dangers, keep the driver in the correct lane, or show what is in blind spots

Autonomous vehicle simulator
Reverse Image Search for Face Recognition

Importance of the Face Recognition System as a Security Solution Face is considered as the most important part of the human body. Research shows that even a face can speak and it has different words for different emotions. It plays a very crucial role for interacting with people in the society.

It conveys people ’ s identity, so it can be used as a key for security solutions in many organizations. N owadays, face recognition systems are becoming an increasing trend across the world for providing extremely safe and reliable security technology. It is gaining significant importance and attention by thousands of corporate and government organizations only because of its high level of security and reliability.

Reverse Image Search for Face Recognition
Photovoltaic cell fault detection

Faults in any components (modules, connection lines, converters, inverters, etc.) of photovoltaic (PV) systems (stand-alone, grid-connected or hybrid PV systems) can seriously affect the efficiency, energy yield as well as the security and reliability of the entire PV plant, if not detected and corrected quickly .

In addition, if some faults persist (e.g.arc fault, ground fault and line-to-line fault) they can lead to risk of fire. Fault detection and diagnosis (FDD) methods are indispensable for the system reliability, operation at high efficiency, and safety of the PV plant .

Photovoltaic cell fault detection
Crowd behaviour analysis

The automated understanding of the behaviour of both individuals and groups remains a very challenging problem from the sensor systems to artificial intelligence techniques. Being aware of the extent of the topic, the objective of this paper is to review the state of the art focusing on machine learning techniques and computer vision as sensor system to the artificial intelligence techniques.

Crowd behaviour analysis

Aiotize Robotics

ROS based modular Robotic systems

The Robot Operating System (ROS) is a flexible framework for writing robot software. It is a collection of tools, libraries, and conventions that aim to simplify the task of creating complex and robust robot behavior across a wide variety of robotic platforms.

Aiotize natively uses ROS framework throughout its Robotic devices for better customised and efficient performance of the systems. ROS also helps in the integration of robotic systems with AI powered interfaces and extracting the best of technology.



Supports multiple robots are with the same master node


Supports real-time operation and is preferred for time-critical applications


Package management on deployed robots


Monitoring, logging, analytics and maintenance tasks for multiple robots are easy


Multi-robot/fleet management and interaction


AOS can be replaced with ROS

AOS Services

Robotic Manipulators

Industry-specific robots

Perform several tasks such picking and placing objects

Movement adapted from observing how similar manual tasks are handled by a fully-functioning human arm. Such robotic arms are also known as robotic manipulators.

Robotic Manipulators
Unmanned Ground Vehicle (UGV)

UGV are generally a remotely operated ground robotic platform


Logistic operations

Ground terrain mapping

Patrol monitoring and detection


Exploration and inspection at tunnels buildings, etc.

Unmanned Ground Vehicle (UGV)
Autonomous Underwater Vehicle (AUV)

An autonomous underwater vehicle, or AUV


A self-propelled


Untethered underwater vehicle

Capable of carrying out simple activities with little or no human supervision.


AUVs are often used as survey platforms to map the seafloor or characterize physical, chemical, or biological properties of the water.

Autonomous Underwater Vehicle (AUV)
Unmanned Aerial Vehicle (UAV)

UAVs can be remote controlled aircraft (e.g. flown by a pilot at a ground control station) or can fly autonomously based on pre-programmed flight plans or more complex dynamic automation systems.


Remote sensing Disaster response Image acquisition Surveillance Transportation Delivery of goods

Unmanned Aerial Vehicle (UAV)


An AI Platform for Drones

At Cognixa we use Machine Learning (ML) tools and algorithms to help companies develop AI-driven products and solutions. Our team has profound knowledge and experience in designing, implementing and integrating Artificial Intelligence solutions into the customer’s business environment.

Business Intelligence

COGNIXA AI Engine is a cloud based AI engine offering AI as a Service, on demand. It allows us to run video analytics on the data sent to a cloud server by IoT devices or drones deployed in the deployment site. The engine/platform enables us to run machine learning, computer vision, image processing or even audio processing models on the data, in real time, and send the results back to the on-site device to act in accordance with the results of the processing algorithm.

The presence of such a system allows data to be sent to a cloud service to be processed, instead of on-device processing, and hence, increases the scope of more complicated models being deployed, as the restriction of complexity due to low processing power of IoT devices is now eliminated.



Machine Learning


Deep Learning


Advanced Analytics


Data Visualization