Patents Assigned to Lizard Technology
  • Patent number: 12139691
    Abstract: The present invention is directed to a chloropropanol prevention pre-treatment process for crude vegetable oils.
    Type: Grant
    Filed: October 29, 2019
    Date of Patent: November 12, 2024
    Assignee: Green Lizard Technologies Ltd.
    Inventors: Peter Goodrich, Eoghain O'Hara, Martin Atkins
  • Patent number: 12065624
    Abstract: The invention relates to processes for the refining of oils. In particular, the invention relates to processes for the refining of oils of biological origin such as vegetable oils.
    Type: Grant
    Filed: October 29, 2019
    Date of Patent: August 20, 2024
    Assignee: Green Lizard Technologies Ltd.
    Inventors: Peter Goodrich, Eoghain O'Hara, Martin Atkins
  • Patent number: 11472783
    Abstract: This invention relates to a process for the preparation of glycidol from the thermal decarboxylation of glycerol carbonate. In one aspect, the present invention provides a process for the preparation of glycidol by thermal decarboxylation of glycerol carbonate, said process comprising the steps of: d) contacting liquid glycerol carbonate with a decarboxylation promotor, having a boiling point of at least 160° C. at atmospheric pressure and consisting essentially of an aliphatic mono-ol, an aliphatic polyol, or mixtures thereof, to form a liquid phase mixture; e) applying heat to the liquid phase mixture formed in step a) to induce thermal decarboxylation of the glycerol carbonate; and f) separating glycidol formed in step b) from the liquid phase mixture by evaporation of glycidol; and wherein the process does not comprise the use of a decarboxylation catalyst.
    Type: Grant
    Filed: March 28, 2019
    Date of Patent: October 18, 2022
    Assignee: Green Lizard Technologies Ltd.
    Inventors: Martin Atkins, Fergal Coleman, Sean Hardiman
  • Publication number: 20120109375
    Abstract: There is provided a biomimetic robot modelling the highly directional lizard ear. Since the directionality is very robust, the neural processing is very simple. This mobile sound localizing robot can therefore easily be miniaturized. The invention is based on a simple electric circuit emulating the lizard ear acoustics with sound input from two small microphones. The circuit generates a robust directionality around 2-4 kHz. The output of the circuit is fed to a model nervous system. The nervous system model is bilateral and contains a set of band-pass filters followed by simulated EI-neurons that compare inputs from the two ears. This model is implemented in software on a digital signal processor and controls the left and right-steering motors of the robot. Additionally, the nervous system model contains a neural network that can self-adapt so as to auto-calibrate the device.
    Type: Application
    Filed: June 23, 2010
    Publication date: May 3, 2012
    Applicant: Lizard Technology
    Inventors: John Hallam, Jakob Christensen-Dalsgaard