Latest News
peoly becomes Technology Integration Partner
of Axis Communications
of Axis Communications
peoly acquires innovative Czech AI company in a strategic merger
Joining the NVIDIA Metropolis Partner program
Video & Audio Analytics solutions
Safety & Compliance
Keep people safe and compliant with on‑device video and audio analytics. Detect missing PPE, anonymise recordings for GDPR, and react to incidents in seconds.
Retail & Logistics
Understand movement of carts, goods and people directly from your cameras. Improve store flow, reduce shrinkage and digitise tracking with on‑camera QR/DMX reading and pallet tracking.
Quality & Manufacturing
Spot micro‑defects, measure and classify products in real time — right on the line. Retrain models on your own samples and keep quality consistent without extra hardware.
Mobility & Public Space
From parking utilisation to passenger counting — get reliable, privacy‑friendly analytics directly on cameras. Trigger actions to improve traffic flow and operations.
Applications
PPE Detection
Shopping cart tracker
QR & Barcode Scanner
Sound analyzer
Parking application
Anonymization application
Intelligent automation
Intelligent automation
End-to-end business process automation
Artificial Intelligence and Robotic Process Automation (RPA)
Complex data AI analytics
Artificial Intelligence and Robotic Process Automation (RPA)
Complex data AI analytics
Machine Learning & AI
Machine Learning & AI
Neural Networks and Deep Learning
Machine Learning Algorithms
Real-time visual data processing
Machine Learning Algorithms
Real-time visual data processing
Data analytics
Data analytics
Big Data analytics
Real-time video analytics
Predictive analytics
Real-time video analytics
Predictive analytics
Cloud Solutions
Cloud Solutions
Cloud applications development
Microservices Architecture
Cloud solutions for Big Data
Microservices Architecture
Cloud solutions for Big Data
Advanced video & audio analytics on the edge
Development and implementation
of advanced custom AI analytics on AXIS cameras
of advanced custom AI analytics on AXIS cameras
Advanced video & audio analytics on the edge
We help our partners create and implement embedded software for non-standard object detection, classification, tracking, and behavioral analysis on edge devices – such as static or vehicle-mounted cameras. For more demanding analyses, we use additional embedded computers to offload part of the tasks. A few examples of objects whose behavior we helped to analyze are airplanes at small airports, trash cans in cities, airport trolleys, cyclists, livestock…
Detecting surface anomalies in industry
Using special illumination and Neural Networks to detect the smallest anomalies
Detecting surface anomalies in industry
An automotive industry client wanted to automate the process of detecting even the smallest defects in the paint coating on car parts. We developed a unique combination of custom made illumination and camera modules with in-house trained convolution neural networks. The whole solution is prepared for on-premises and cloud deployment with the industry standard in mind. We detect and classify several types of surface defects less than 0.1 mm in size with more than 95% accuracy.
Traffic video analytics for SmartCity
Real-time analytics, pattern recognition and anomaly detection
Traffic video analytics for SmartCity
A renowned European system integrator was looking for a software solution for its SmartCity project with special requirements for real-time traffic video data analytics. We were able to customize our software modules and meet all the specific requirements within a short time. We used our extensive expertise to provide specific and precise output traffic data for further use in the customer’s SmartCity platform.
Web platform visual search
Neural network model, microservices and platform integration
Web platform visual search
A furniture aggregator platform was looking to extend their search services with visual search, which allows customers to find similar products just by uploading a photo they have taken or downloaded. We prepared the whole service as a separate microservice for the customer’s Kubernetes infrastructure. The team consisted of two ML experts and two Senior Developers, who completely designed and developed the whole service including the communication model with other already existing services. We worked with the latest architecture designs such as detector, feature vector extractor, approximate nearest neighbor and other services.
NLP document classifier
Analyzing thousands of documents a day, classifying and storing them in a database
NLP document classifier
Our in-house Natural Language Processing (NLP) solution can analyse thousands of documents a day. It determines the type of content in the documents (while respecting their privacy) and can store them in a database according to predefined content types. For example, if you had 10,000 unlabelled documents in one folder, you could use the PDF classifier to sort them into four different folders automatically, without having to open a single PDF.
Voice recognition mobile application
High-precision audio recognition for Android
Voice recognition mobile application
A client was looking for a development partner for an audio recognition project. We were approached to undertake the whole process of mobile application delivery, which included graphical design, development, testing, backend data collection and processing. The application (optimised for Android) utilised TensorFlow Lite proprietary model for audio recognition, which ensured high precision and low latency.
DNN optimization for Facial recognition
High performance inference on NVIDIA GPUs
DNN optimization for Facial recognition
A client specialising in Facial Recognition approached us with a project on optimization of Deep Neural Network (DNN) models for TensorRT to enable high performance inference on NVIDIA GPUs. One of our tasks was finding a balance between computation load and precision for DNN quantization processes. We prepared AI video analytics pipelines with features such as object detection, classification and recognition. These pipelines can be extended by additional DNN approaches (e.g., tracking) and are based on DeepStream SDK with custom GStreamer plugins built by our company.
Sound analyzer for predictive maintenance
An app that can diagnose the problem
of a car by analyzing the underlying sounds
of a car by analyzing the underlying sounds
Sound analyzer for predictive maintenance
We created an ML engine that analyzes unusual sounds emanating from cars and provides a predictive diagnosis of the issue. It is based on unique classification technology
utilizing a custom Densely Connected Convolutional Network, delivering 98% accuracy after training on extremely small data sets of only a few sound samples for each class. The entire solution operates and employs the latest ML services from the Microsoft Azure cloud.
utilizing a custom Densely Connected Convolutional Network, delivering 98% accuracy after training on extremely small data sets of only a few sound samples for each class. The entire solution operates and employs the latest ML services from the Microsoft Azure cloud.
World‘s first diamond selection tool
An automated process of selecting diamonds based on visual appeal and price
World‘s first diamond selection tool
Our solution analyses the visual purity and overall quality of premium diamond stones. To achieve outstanding results we employ hundreds of images for each stone and a spatio-temporal prediction model based on cutting-edge Convolutional Neural Network architectures. The product is a web app virtual assistant that outperforms most of the world’s diamond experts and helps a buyer to select the right balance of quality, visual appeal and price.
Identifying dental problems using a smartphone
Automatic monitoring of patient’s teeth based on a series of photographs
Identifying dental problems using a smartphone
Our client, the owner of a private dental clinic, approached us with a request to automate patient tracking based on a series of photographs of the patient’s face and projections of their jaws taken with a smartphone. The algorithms we developed allowed us to identify some of the most important key elements used in dental diagnostics. The knowledge obtained from each photograph is combined into a single data point, and based on this our system will make a comprehensive diagnosis and offer a treatment plan. The patient can now perform these examinations remotely by himself/herself and send the results to his or her doctor.
AI video analytics for retail
Real-time object detection, tracking and behavioral analysis
AI video analytics for retail
A customer with a long term experience in AI/ML was looking for highly qualified Machine Learning developers experienced in real-time object detection and tracking, as well as behavioral analysis of objects in video feeds from a retail environment. We created an expert team comprising an ML specialist with experience of real-time object detection pipeline, two senior developers with experience in using Nvidia DeepStream SDK principles, and one annotator with experience of preparing ground truth data for ML models. Our team has substantially helped improve current customer solution in terms of performance, reliability and speed of processing.
Process automation
Integration of third party APIs into the customer platform
Process automation
A powerful process automation platform provider was trying to enlarge their development team. Peoly provided them with a managed nearshore development team with experience of integration, RESTful API and JavaScript as well as knowledge of front-end development. After an evaluation period, we were able to qualify as an exclusive partner for the project. The assignment was to integrate 3rd party APIs into the customer platform. Within a couple of months we had expanded a dedicated team of 5 to 15 people with a specific developer profile tailored to the customer needs. Currently, the customer makes use of a wide scope of our services and enjoys access to a team extended on on-demand basis.
Interested in a more detailed description?
ABOUT US
We are a Prague-headquartered software company building dedicated development teams, augmenting existing development teams, and providing end-to-end software engineering services.
We were able to create local ecosystems of experienced professionals, developers and universities in both countries, which in combination with our own local recruitment company allows us to grow every year. Our team of experienced data analysts, machine learning experts and programmers is always up for a challenge and dedicated to help clients grow and prosper.
We partner with:
OUR LEADERSHIP TEAM
Petr
CEO
Jaroslav
CTO
Stepan
Head of AI
Oleksandr
Integration Team Lead
Artem
AI/ML Team Lead
Roman
Senior Data Scientist
Valeria
Front-End Dev. Lead
Olexii
AI/ML Team Lead
CZ
peoly HQ Prague
Dejvicka 306/9, 160 00 Prague 6
Czech Republic
Dejvicka 306/9, 160 00 Prague 6
Czech Republic
+420 603 919 911
eu[at]peoly.com
CZ
peoly
Prokišova 7, 370 01 České Budějovice 1
Czech Republic
Prokišova 7, 370 01 České Budějovice 1
Czech Republic
+420 603 919 911
eu[at]peoly.com
UA
Pyrohova 39
21018 Vinnytsia, Ukraine
21018 Vinnytsia, Ukraine
+380 506 022 747
ua[at]peoly.com
US
44 Tehama St.
San Francisco, CA 94105, USA
San Francisco, CA 94105, USA
+1 (415) 917 4399
us[at]peoly.com
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