SERVICES
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WHY CHOOSE US
We innovate with AI to power your vision applications
Our team of AI engineers, seasoned data scientists and application developers work togeather to solve the most complex problems across various industries and enable the new generation of deep-learning models that power automations and autonomous systems of tomorrow.
Detection, Segmentation and Tracking
Object Detection and Classification
The need for detecting, classifying and isolation of people and objects in live video frames sequence are becoming more on demand in retail, manufacturing, industrial and other sectors for a wide variety of applications including monitoring and survillance, customer experience and others.
People & Objects Tagging & Tracking
Tracking people and objects through a unique ID across multiple video frames can solve many problems in computer vision applications including intrusion detection, lost items identifications and others without the use of biometric features and without compromising the privacy of citizens.
Bringing 3D-Spatial Awarness
Segmenting and tracking the location and proximity of people, animals, vehicles and other objects using a combination of RGB images, point-cloud data from 3D cameras or Lidar are useful for a variety of applications rendering an accuate description of the surrounding environment.
Fusion of Data, Sensors and Modalities
Image & Video Scenes Fusion & Reconstructions
In complex real-world settings where objects captured by a single sensor/camera are being partially or fully obscured by one another may require the use of multiple sensors/cameras at different postions and orientations to overcome blind-spot and noise problems that can arise as a result.
Sensors Fusion for Diverse Redundancies
In some cases, the detection accuracy and performance of a single modality can be augmented by combining with other modalites (e.g., 2D/3D Camera, LIDAR, RADAR, etc.) which requires a complex fusion framework to match objects from data in different 2d and 3D point-cloud formats.
Modality Fusion for Complex Problem Solvings
Solving a specific problem within a certain industry may also require bringing in and merging other non-vision sensor technology to capture other unique spatial characteristics of the physical environment including RFID, Bluetooth, and UWB to enable new AI technological innovations fueled by multi-source data points
Integration, Optimization and Deployment
Model Optimization for Edge Applications
For some applications such as vision for non-stationary moving vehicles, vision-AI models need to be optimized to run on edge-based devices in real-time mode which may require reworking a hardware-specific AI pipeline in a way that ultimately reduces latency and saves network bandwidth.
Sensors Data Channeling & Integration
Integration of data from various sources may require an extensive degree of complex data morphing, processing and transformation for the purpose of driving unique insights and informing various levels of operational decisions critical to the end application in focus
Testing, Validation and Verification
Fore the deployment of AI-powered systems, the system overall along with the underlying components need to be subject to stringent testing, verification and validation based on an extensive library of scenarios defined by the final application goals and obejctives
We are constantly looking for ways to harness the power of vision AI for the public good
Applications in Logistics Automation, Agricultural Robotics, as well as Manufacutring and Warehousing
Field path segmentation for agricultural robotic navigation
Produce segmentation and localization for picking applications
Recognizing items on shelf from products labels
Identiftying shelf space and items' occupancies in retail stores
Pallets isolation and localization for automated logistics
Surface space identification for robotic navigation applications
Identify unutilized empty space within warehousing facilities
Bottles segmentation, localization and counting
Applications in Transportation, Smart Cities and Public Safety
Merging RGB and point-cloud data for depth estimation
Fusing scenes sequence at consequtive perspectives
Workers & obstacels classification in factories
Person bags taging and tracking in public transportation
Cyclisists classification in open public facilities
Road objects classification for autonomous vehicles
Railway track and crossing detection and navigation
Measuring crowd flow and density to assess operational risk
Accurate, Instantaneous and Contextualized Insights
Enhancing Visibility through Spatial Awarness
Our Vision
With the increasing need for automation and autonomous systems in industrial applications, Cognistics aims to deliver on the promise of AI to ensure safety, provide reliability and maximize productivity in the next-generation of those systems
Our Mission
To harmonize GPU-Based Vision AI with advanced 3D sensing technologies to attain and maintain spatial awareness of multilayers of intelligence in applications where safety and productivity dimensions are essential to the industry in focus
Our Core Values
Adhering to the highest standards of ethical AI with deep respect for personal data privacy and confidentiality and in alignment with the fundamental values of individual human rights including fairness, non-discrimination, and non-manipulation
Enhance efficiency, advance productivity and promote safety
Armed with AI knowledge, creative thinking and cooperative technological orchestration, we aim to accelerate the progress of AI through a new generation of deep-learning models that power automations and autonomous systems of tomorrow and create a better future for mankind
