We are developing and producing Smart City related Products and Services

The idea to found Bercman Technologies came from the real life need. We wanted to bring new fresh ideas and technologically capable products to the market. There are still too many traffic related accidents so we want to give our contribution. Our mission is to accelerate the progress towards self-driving vehicles in order to eliminate all traffic related fatalities.

The technologies are available if successfully implemented can save lives and avoiding accidents. We want to make the city a better place to live by modernizing old-school traffic technologies and provide connected infrastructure’s benefits to everyone.

The company's vision is to become a leading partner for clients in Cooperative Intelligent Transportation Systems (C-ITS) market. C-ITS solutions enable increased traffic safety through automated communication between infrastructure and connected vehicles. We address the global intelligent transport system market, estimated to reach over €46 billion by 2025.

2016

Founding of the company
Research of the market and available technologies begins

2017

First prototype of The Smart Pedestrian Crosswalk
First pilot customers are found

2018

Second phase R&D of The Smart Pedestrian Crosswalk
In-house team and partner network grew substantially

2019

Opening of the Headquarters in Tartu, Estonia
4 Pilot projects of The Smart Pedestrian Crosswalk in Estonia & Finland
Development begins for 3 more products Smart City related products

2020

Catalog 2020 will be released with 20 physical and digital products and services

Our partners & supporters

Our Services

Design & Planning
We invent new products from scratch and implement the latest technologies in the design phase
Development
The development of the products to enable rapid manufacturing and commercialization
Production
We practice vertical integration as much as possible to ensure highest quality of the manufacturing
Customer Support
We value highly productive and long-lasting client relationships so expect us to be there for you, always
Data analytics
We provide analytics of the data collected by our products and present them in the Client Portal
Maintanence
We take care of the maintenance of the products with love and care wherever you are located

Funding from European Regional Development Fund

Grants received

A technical feasibility study for a Smart Pedestrian Crosswalk solution

GRANT
2014-2020.4.4.2 The part of research and development activity
AMOUNT
19 390 €
PROJECT PERIOD
04.09.2017 – 20.12.2017
PROJECT'S PURPOSE
The development unit project aims to confirm the technical feasibility and expected cost price of Bercman's Smart Pedestrian Crosswalk concept for serial production, physical prototyping and laboratory tests. Where necessary / possible, find ideas for refining the concept.

Validation of Bercman's Smart Pedestrian Crosswalk object detection and implementation of proposals

GRANT
2014-2020.4.4.2 The part of research and development activity
AMOUNT
3 920 €
PROJECT PERIOD
24.09.2018 – 15.01.2019
PROJECT'S PURPOSE
The aim of the project is to evaluate experimentally and theoretically the effectiveness of Bercman's Smart Crosswalk software and hardware object recognition algorithm and to make detailed suggestions for more accurate object identification. The project will create the basis for even more accurate identification of people and cars and brings increased road safety.

Combining a real-time sensor database to provide more accurate information about subject position, orientation, and direction

GRANT
2014-2020.4.2.3 Applied research in smart specialisation growth areas
AMOUNT
70 514 €
PROJECT PERIOD
01.04.2019 – 01.02.2020
PROJECT'S PURPOSE
The purpose of the applied research is to develop a highly accurate and advance level object recognition platform that would enable the Smart Pedestrian Crosswalk system to provide potentially life-saving situational awareness. A goal is a complex task that requires object recognition by combining a real-time database. Gathered knowledge can be applied to the development of other intelligent applications, including self-driving vehicles technology.

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