Product
ARTIFICIAL INTELLIGENCE
FOR OPERATIONAL USE

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Although we call
them products, each
is an intricate system.

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There are no feelings. There is only machines and technology.

About Us
All speaking and working together. Transforming insights into automated actions. Input. Output. Sight and insight. Productivity, protection and profit. Solution.
A range of practical, advanced technology products. On one platform that converts automation into action. One technology for the day after tomorrow. Easily implemented at scale, today.
 
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The Machines

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Optimized for the Teknoir Platform   ▶

Teknoir AI Edge Computers
AI-Enabled Cameras

AI Edge Computers & IVRs

Ruggedized AI Edge Computers and Intelligent Videos Recorders (IVRs) based on the NVIDIA® Jetson Orin™ hardware platform to meet a variety of AI inferencing and training needs at the edge. Our edge offerings are supplied by top OEMs and have been tested and certified to work with the Teknoir platform.
Ruggedized AI Edge Computers and Intelligent Videos Recorders (IVRs) based on the NVIDIA® Jetson Orin™ hardware platform to meet a variety of AI inferencing and training needs at the edge. Our edge offerings are supplied by top OEMs and have been tested and certified to work with the Teknoir platform.

Intelligent AI Cameras

Plug-and-play Intelligent AI Cameras with integrated NVIDIA® Jetson Orin™ accelerators that are quick and easy capable of inferencing image and video data at the edge for most computer vision applications.
Plug-and-play Intelligent AI Cameras with integrated NVIDIA® Jetson Orin™ accelerators that are quick and easy capable of inferencing image and video data at the edge for most computer vision applications.

Smart IoT Sensors

Full suite of wireless Smart IoT Sensors for measuring vibration, temperature, pressure, acceleration, electrical current, and dozens of other process variables.
Full suite of wireless Smart IoT Sensors for measuring vibration, temperature, pressure, acceleration, electrical current, and dozens of other process variables.

The AI Apps

Unlike Other AI Offerings —
We Don’t Believe In One-Size-Fits-All

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Depending on the use case, model accuracy and consistency are critical. We understand that the same application and model deployed across different environments will not perform the same. The counter-argument to this is not to build a fully customized application every time. That’s neither cost-effective nor fast to value.

COPYRIGHT ©2024
Teknoir™ — Products section
THOUGHT RESEARCH INITIATIVE
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Features of
Teknoir AI apps:

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Statistic Fig. #01   ▶
60-80%
Statistic Fig. #01   ▶

Of our pre-built apps often get our customers to their goal out of the box. The remaining 20-40% is obtained once deployed onsite, with some fine-tuning done by the end-user or an integration partner.

Features of
Teknoir AI apps:

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  • Solve our customers’ most important use cases related to safety, security, environmental, quality control and operational efficiency
  • Employ the latest generative AI plus proven machine learning methodologies
  • Continuous evaluation and improvement of model frameworks and techniques by Teknoir’s experienced data scientists and machine learning engineers
  • Meet strict cybersecurity requirements and optimized for deploying to resource-constrained hardware at the edge
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TEKNOIR AI USE CASES
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Use Cases

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Safety

The Experience
The Science

Safety

An AI safety applications for protecting human lives by preventing fatalities, injuries, and illnesses in the workplace.

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Safety

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An AI safety applications for protecting human lives by preventing fatalities, injuries, and illnesses in the workplace.

The Experience: Person Down Detection

 

 

Accidental slips, trips, and falls can occur in industrial, commercial, and retail sites, posing a significant risk of injury for workers and customers.

Teknoir’s AI person down detector alerts nearby personnel about sudden falls and related incidents, enabling rapid response and potentially life-saving interventions.

The Experience: Personal Protective Equipment (PPE) Detection

 

 

Teknoir’s AI Personal Protective Equipment (PPE) detector is trained to detect hardhats, high visibility vests, eye protection, and gloves to mitigate risk by monitoring adherence to organizational and OSHA safety policies by alerting workers and managers about observed hazards.

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AI Models

1/5

Person Down Detector

Our Person Down Detector model utilizes advanced computer vision algorithms, including human pose estimation, to promptly detect instances of individuals falling. This model holds significant potential in improving worker and customer safety by issuing timely alerts to support personnel and first responders, thereby mitigating the risk of further injuries.

2/5

Personal Protective Equipment (PPE) Detector

Our PPE Detector model is capable of accurately identifying instances where workers are either not wearing appropriate protective gear or are wearing it incorrectly, such as hard hats, gloves, eye protection, and safety vests. This capability ensures adherence to safety regulations. What sets our model apart from others is its extensive training encompassing a wide range of PPE colors and styles, in addition to its adaptability to custom datasets through fine-tuning.

3/5

Unsafe Behavior Detector

Our Unsafe Behavior Detector has undergone training using a diverse set of heuristics that pertain to unsafe behaviors capable of causing injury. These encompass improper lifting postures, employment of multiple contact points during climbing, and maintaining situational awareness.

4/5

Hazardous Area Detector

Our Hazardous Area Detector model affords users the capability to virtualize specific zones of interest encompassing heavy machinery, high-voltage equipment, and other areas presenting health and safety risks. This allows for the generation of real-time alerts upon personnel ingress into these designated areas.

5/5

Smoke and Fire Detector

Our Smoke and Fire Detector model is designed to produce real-time alerts and offers seamless integration with existing fire detection systems and sensors.

See how the Teknoir and Industrial Service Solutions partnership is implementing Operational AI to prevent injuries in the workplace.

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Sustainability

The Experience
The Science

Sustainability

With increasing regulatory pressure to comply with ESG mandates, Teknoir’s AI sustainability use cases have become a natural necessity.

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Sustainability

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Teknoir’s AI Sustainability Detection App is a versatile solution for companies aiming to achieve their ESG (Environmental, Social, and Governance) objectives. It harnesses advanced computer vision techniques, including our suite of deep learning convolutional neural networks (CNNs) and vision language models (VLMs). These models are designed to support a variety of sustainability use cases. What's more, our AI apps are easily deployed on lightweight, wireless computers at the edge, in the cloud, or hybrid cloud-edge, adapting to the unique architecture and computing requirements of each customer.

The Experience: Teknoir Recyclable Object Detection

 

Teknoir is dedicated to addressing complex operational challenges encountered by businesses striving to meet their Environmental, Social, and Corporate Governance (ESG) objectives.

Our ESG-focused AI vision solution deploys cameras at the edge to autonomously categorize waste and recyclable byproducts while assessing their characteristics, such as material type, size, and quantity. This data equips our clients to make data-informed choices regarding efficient recycling and waste management techniques and to monitor ESG-related Key Performance Indicators (KPIs).

Through the Teknoir platform, businesses can optimize recycling procedures, curtail disposal expenditures, capitalize on fresh revenue streams by reclaiming materials, and fortify their standing as conscientious environmental custodians.

The Science: Teknoir Recyclable Material Classification

 

Teknoir’s AI computer vision models can detect and classify recyclable materials in complex settings, such as landfills, processing plant conveyors, etc.

Our AI solutions for waste and recycling help organizations minimize downtime by detecting non-recyclable goods that can damage equipment. We also enable our customers to quantify the impact of their recycling programs for reporting and compliance purposes.

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AI Models

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Recyclable Object Detector

Our recyclable object detection model has been pre-trained on thousands of images and utilizes deep learning algorithms for identifying waste and recyclable objects. These models are able to spatially identify objects in 2D and 3D space. The outputs of these detections can be configured as real time alerts, KPI dashboards, summarized reports, or sent to downstream processing equipment.
Waste & Recycling

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Semantic Segmentation & Object Recognition

Deep learning techniques like deep convolutional neural networks allow us to perform semantic segmentation, which is integral to understanding the context within which objects exist in images. This is crucial for precise identification of materials or anomalies. Object detection algorithms that include segmentation provide detailed insights by not only locating the bounding box around an object but also delineating the exact shape of the object. While Object Detection involves locating objects within an image, typically using bounding boxes, recognition delves deeper, aiming to identify the specific nature or class of the detected objects. This distinction is important in tailoring computer vision systems for specific applications. For instance, while a detection system might be sufficient for counting recyclables on a conveyor belt, a recognition system would be necessary to differentiate between recyclable materials such as plastic, paper, cardboard, aluminum, and Styrofoam.
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Security & Surveillance

The Experience
The Science

Security & Surveillance

Presenting Teknoir’s AI Security & Surveillance App, which excels at detecting security threats with unparalleled human-level accuracy to ensure critical events are never missed while minimizing false positives. Unlike conventional CCTV systems, our advanced AI can spot behaviors that are common precursors to vandalism and theft by analyzing intricate heuristics in streaming video and audio.

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Security & Surveillance

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Presenting Teknoir’s AI Security & Surveillance App, which excels at detecting security threats with unparalleled human-level accuracy to ensure critical events are never missed while minimizing false positives. Unlike conventional CCTV systems, our advanced AI can spot behaviors that are common precursors to vandalism and theft by analyzing complex heuristics in streaming video and audio.

The Experience: Retail Occupancy & Traffic Analysis

 

 

Accurate and Real-Time Consumer Traffic Data: Measure store traffic levels in real time, providing a dynamic view of foot traffic patterns, consumer behavior, and utilization rates. Customers can optimize their operations, identify peak traffic hours, and make data-driven decisions to maximize revenue.

Enhanced Consumer Experience: Businesses can gain a deeper understanding of their consumers’ behavior within their physical spaces. This valuable data allows our customers to tailor their offerings, optimize store layouts, provide a sufficient number of frontline workers to help all consumers, and create personalized experiences that exceed expectations.

Increased Frontline Efficiency: Our Occupancy Analyzer goes beyond traffic measurement. It provides a comprehensive suite of tools to monitor and analyze factors impacting the bottom line, including footfall trends, queue lengths, seasonal and campaign flow, conversion rates, and more. Armed with these insights, retailers can streamline their frontline operations, reduce costs, and improve their frontline workers’ satisfaction.

The Science: Object Detection with Auto Segmentation

 

 

Segment Anything Model (SAM) Integration with YOLOv7: Auto Annotation for Segmentation Use Cases

YOLOv7 is among the state-of-the-art object detection models that use deep learning techniques to detect and classify objects in real time. SAM employs an unsupervised machine learning technique and has been trained on over 11 million images, with over one billion masks for various objects. SAM is used to segment objects in images, videos, or streams.

We integrate SAM into the Teknoir Platform. Our objective is to simplify the annotation process for segmentation, making it more accessible and user-friendly for all users.

The Experience: Privacy Masking

 

 

When deploying AI vision systems in workplaces to address various use cases, it may be desirable to blur faces for the privacy of personnel and customers.

Teknoir’s face-blurring application helps organizations strike an important balance between observability and privacy. It can be easily deployed into any of our AI vision workflows that run directly on edge AI-enabled cameras.

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AI Models

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Loitering

Loitering model detects individuals that are stationary in areas of interest for predefined periods of time and exhibiting suspicious behavior. This model can differentiate between actual loitering events and false alerts.

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Person Down

Person Down model uses human pose estimation to detect individuals that have slipped, tripped, or fallen down and remain down for a predefined period of time.

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Parking Lot Surveillance

Parking Lot Surveillance model detects automobile break-ins and catalytic converter theft. This model is capable of identifying signs of potential theft or vandalism, such as looking into vehicle windows and crouching or lying down next to vehicles.
Building & Property Management

4/8

Unauthorized Entry

Unauthorized Entry model tracks and identifies individuals and vehicles entering and exiting properties by using specific characteristics such as vehicle make and model, license plate recognition, and facial recognition.

5/8

Weapons Detection

Weapons Detection model monitors streaming video feeds for firearms, knives, and other weapons.

6/8

Shoplifting

Shoplifting model detects shoplifters removing products from shelves and leaving the store without transacting.

7/8

Point of Sale

Point of Sale model monitors registers, cash drop boxes, and safes by AI on security camera video streams to identify potential instances of theft by shoppers or employees.

8/8

Occupancy & Traffic Analyzer

Accurate and Real-Time Consumer Traffic Data enables retail customers to measure store traffic levels in real-time, providing a dynamic view of foot traffic patterns, consumer behavior, and utilization rates. With this information at their fingertips, our customers can optimize their operations, identify peak traffic hours, and make data-driven decisions to maximize revenue.
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Quality Control

The Experience
The Science

Quality Control

AI applications revolutionizing quality assurance and defect detection with unmatched precision. Advanced algorithms analyze manufacturing data to identify defects, ensuring consistent product quality. Machine learning continuously improves AI’s accuracy, reducing errors and maintaining high standards. AI-powered visual inspections surpass traditional methods, minimizing human error and boosting productivity. This integration of AI leads to cost savings, higher customer satisfaction, and a competitive edge, driving industry innovation.

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Quality Control

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Revolutionizing quality assurance and defect detection by using advanced algorithms and machine learning to enhance precision, reduce errors, and boost productivity, leading to cost savings and higher customer satisfaction.

The Experience: Damaged Package Detection

 

 

Teknoir’s AI Quality Control app addresses one of the biggest challenges retailers and logistics companies face: Ensuring accurate and efficient inventory routing within their warehouses and processing customer product returns.

Misplaced or damaged returned packages can lead to delays, increase costs, and frustrate customers. Our cutting-edge AI platform leverages advanced computer vision algorithms to monitor your consumer return packages on conveyors in real-time.

By harnessing the power of AI, Teknoir enables retailers and logistics providers to identify and assess potential damage to packages as they move through the conveyor system. With this intelligent returns management process capability, our customers can quickly identify and address any issues, ensuring that return inventory is routed to the correct locations within their warehouses.

The Experience: Defective Can Detection

 

 

Our AI Quality Control app can identify quality issues during manufacturing and assembly in real-time, minimizing product loss due to defects.

Advanced computer vision algorithms capable of running at the edge are designed to visually detect defects by analyzing object shape, size, color, orientation, and markings. Their ability to process video streams with minimal latency allows these systems to be implemented into existing conveyor lines without affecting production speed.

Combining defect detection with object tracking and counting models, we are able to provide manufacturers with a comprehensive AI offering that integrates with existing ERP and Quality Management systems for full visibility and control.

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