2020

Project Name: Büyüktech - Forsight
Project Team: Ömer Orkun Düztaş, Alparslan Işıklı
Project Summary: A person can drive using only his eyes and brain, can autonomous vehicles also do this? One of the topics discussed in autonomous vehicles all over the world is whether there is really a need for another sensor other than the camera. Companies such as Tesla and MobilEye are experimenting with autonomous driving only with cameras. 3D sensing is critical for autonomous driving. Lidars are used for this purpose. Thanks to the high-level stereo matching algorithms we have developed and our special artificial intelligence hardware, it can replace Lidars and perform high-level 3D sensing, while detecting vehicles, pedestrians, traffic markers and many more with its special artificial intelligence processor, such as emergency braking system, adaptive cruise control. A new generation smart camera incorporating adas features.

Project Name: SYNTONYM
Project Team: Batuhan Özcan, Barış Geçer, Abdülkadir Pir
Project Summary: Syntonym is a privacy-tech that makes visual data anonymization. It ensures that the faces of individuals are replaced with synthetic faces that never existed, aiming to preserve all analytical values ​​at the maximum level. While doing this, age, gender, facial expressions, etc. The protection of metrics ensures that no individual's rights such as privacy and confidentiality are violated in the process of feeding artificial intelligence algorithms with accurate and reliable data. Considering that a Level 3 autonomous vehicle records an average of 8TB of data, it enables companies to use data in the most efficient way, ensuring the privacy of individuals, thanks to the anonymization of image data, which is the most valuable data type, in accordance with KVKK / GDPR.

The data collected through data anonymization ceases to be personal data.

Project Name: ALGAE BIODIESEL
Project Team: Selen Şenal, Berna Alemdağ, İlayda Aktuğ
Project Summary : Industrial waste waters and flue gases are purified with the help of microalgae and carbon negative microalgal biofuels and raw materials (glycerine, protein, etc.) are produced from these wastes. It can be used in diesel engines without modification and the cetane number, CFPP etc. fuel properties show the same quality as petroleum diesel. It reduces sulfur emissions to zero and reduces CO2, SOx, NOx emissions by 70%. The LCA of the microalgal biodiesel we produce is 28.5 g CO2e/MJ, 3 times less compared to low sulfur petroleum diesel. Thanks to its superior carbon capture technology in the Algae Biodiesel production process, it absorbs around 90% of the CO2 in the flue gas, and provides the removal of substances such as nitrogen, phosphorus, heavy metals, and BOD in industrial wastewater by around 95%. Therefore, it reduces greenhouse gas emissions that cause climate change from production to consumption, and thus aims to stay below the climate change limit of 1.5 degrees. Since we carry out disposal in production, the elimination of waste water and flue gas, which are the most important environmental problems of the industry, is ensured. It has a positive impact on at least 10 of the United Nations' Sustainable Development Goals (6,7,8,9,10,11,12,13,14,15). The main aim of the project is to turn the fossil fuel-based economy in the industry into a sustainable green-economy with our clean-tech solution. According to the decision of the IPCC Panel, if 100% fossil fuel or partially renewable energy continues to be used in the industry, it is predicted that the temperature will increase by 3 to 5 degrees between 2030 and 2050 depending on climate change. The only solution is to use renewable energy sources with carbon capture technology. ALGAE BIODIESEL, on the other hand, minimizes greenhouse gas emissions with carbon negative production and provides this solution by eliminating waste water and flue gases.

Project Name : Archmir
Project Team: İlker Holly, Mustafa Çakır, Talha Saruhan, Utku Eroğlu
Project Summary : Archmir is an initiative that detects morphological distortions in objects with its own artificial intelligence algorithm. It is currently using this technology in the insurance industry to make processes semi-autonomous. Damage assessment processes, which normally take days and are manual, can be solved semi-autonomously within a few days with Archmir's technology. Unlike its competitors, Archmir, which uses a parametric estimation algorithm, can give the best results even in non-standardized markets.

Project Name: Diagnostic and Power Manager for Automotive Systems
Project Team: Can Acar, Taylan Aydın, Muhammed Salih Karademir
Project Summary: Autonom is developing domestic automotive software components that can be integrated into all ECUs for the first time in Turkey! Diagnostics and Power Management form the heart of automotive software. In automotive systems where safety is the 1st priority, it is vital to eliminate existing risks, apply safety concepts for potential failures, and start and shut down the system correctly. Our company will develop these two software modules, which are used jointly in all automotive systems, and will export automotive software for the first time in Turkey.
Testable and observable functions of the diagnostic manager

* Management of errors in the system and ECU: Recording all faults first in RAM and then in NVRAM for security reasons Error code, P-Code, error type, error status, error priority, error filtering, environmental values, MIL-Group, self Error forgetting/deleting parameter, error logging & preventing reaction for certain system conditions parameter, error occurrence frequency
* Triggering the fault reaction within the time specified by the customer in the specification booklet and putting the system in safe mode (Temporary or permanent deactivation of the system, either partially or completely
* Ensure that the system reaction triggered by the Diagnostic Manager is reversed when the conditions entered in the configuration are completed (Example: Fault is no longer present for more than 500 ms)
* To ensure that errors are cleared automatically after a certain driving cycle or to ensure that certain errors are not deleted under any circumstances.
* Queries the accuracy of the data recorded in the error memory
* Grouping of OBD errors affecting emission and sending to the network to be read in network communication
* Functions offered for the diagnostic tester: reading ECU ID, reading error memory, clearing error memory Testable and observable functions of the Power Manager It enables the system/ECU to start and shut down safely in a predetermined order.