Judges' Choice Award Winner
OpenMV
OpenMV develops the OpenMV Cam, an easy-to-use, low-cost, extensible, Python-powered machine vision module. We aim to make OpenMV Cam the “Arduino” of machine vision.
Polly helps people with neurological disorders such as MS, CP, Alzheimer’s and Parkinson’s, by AI/ML platform giving a real-time voice, cognitive assistance and telecare to people with neurological conditions. Polly provides three values (3 C’s): 1-Communication: Real-time voice and facetime based on the contextual surroundings. 2-Control: cognitive assistance, computer vision, controlling IoT Devices, memory, and behavior assistant. 3-Caregiving: Assisting caregivers with remote patient monitoring and alarm system.
Audience Choice Award Winner
Waveye
Waveye is a technology start-up focused on imaging radars for autonomy and real-world- AI. Our goal is to provide next-generation radar imaging for autonomous systems with multi-modal perception.
Polly helps people with neurological disorders such as MS, CP, Alzheimer’s and Parkinson’s, by AI/ML platform giving a real-time voice, cognitive assistance and telecare to people with neurological conditions. Polly provides three values (3 C’s): 1-Communication: Real-time voice and facetime based on the contextual surroundings. 2-Control: cognitive assistance, computer vision, controlling IoT Devices, memory, and behavior assistant. 3-Caregiving: Assisting caregivers with remote patient monitoring and alarm system.
Finalists
Cloneable provides low/no-code tools to build and deploy deep tech applications to any device, instantly. We are committed to simplifying how the world collects, processes, and analyzes data right where it originates, near the devices and sensors that produce it. By doing so, we transform the fundamental functioning of business and data processes, unlocking new in-field expertise for both people and machines.
ProHawk Technology Group, Inc. is a computer vision restoration solutions provider that offers cutting-edge solutions to businesses across various industries. Our mission is to help our clients optimize their operations and increase their bottom line by leveraging computer vision restoration technologies. ProHawk’s technology has diverse applications across a multitude of industries, spanning Safety and Security, Healthcare, Manufacturing, Retail, Government, and Transportation. Our partnerships validated designs and market alignment with industry leaders, such as NVIDIA Metropolis, NVIDIA Clara Holoscan, and Dell Technologies Computer Vision Safety Security and Healthcare teams, have positioned us as pioneers in the field. ProHawk Technology Group is a leading computer vision solutions provider offering cutting-edge solutions that assist businesses in streamlining their operations and enhancing their profitability. ProHawk’s technology is leading the way in computer vision restoration and contribute to a safer, more efficient, and more innovative world.
Edgehog Technologies’ advanced antireflection technology eliminates stray light artifacts for image sensors. Edgehog’s innovative nanotexturing approach distinguishes it from traditional coatings, offering versatility for vision AI, cameras, LiDAR and more.
Lemur Imaging, a UK based start up, founded by industry veterans, Noman Hashim and Dr. Slava Chesnokov (ex ARM/Apical), to address the growing problem of reducing system cost and power consumption whilst increasing Computer Vision detection accuracy. The first product, available now, is LMR™ (Line Memory Reduction) a novel ultra compact (sub 20k gates),low latency (sub 10 clocks), perceptually lossless compression core, which allows computer vision engineers to improve the accuracy of their models whilst reducing SRAM by 2x and DRAM bandwidth/power consumption by 3-4x. LMR™also introduces the concept of LMR5 data type – allowing companies to take FP16 images and compress down to 5bits, thus reducing the activation data stored in SRAM by 70% and/or reducing DRAM bandwidth by 3x. LMR5 data does not require for any model retraining yet delivers significant power saving and increased detection accuracy when compared to FP8/INT8 based solutions.
EyePop.ai is a self-service AI platform designed to make it easy for people and businesses of all technical levels to create apps and detailed analytics based on computer vision AI.
While AI is powerful, it can be challenging to train especially for highly dynamic edge scenarios. For robust applications, developers must obtain good data and qualified, seasoned AI experts for training this data. Optimizing Mind has developed a novel technology called Transfer Learning Squared that performs transfer learning training much more efficiently using 1% of data samples. Moreover this technology overcomes the problem, known since the early days of AI as catastrophic forgetting. This means that not only less samples are needed, but the order of the samples does not matter allowing the AI to be more easily debugged, edited and updated. Transfer Learning Squared is offered as a SaaS and is seamlessly adoptable because it does not require a change to current workflows. It is an easy way to reduce development time and costs.
Frugal Computing Corporation is a bootstrapped company just celebrating its first birthday. We have a deep depth of highly successful industry experience: processor architecture and microarchitecture, subtleties of floating point arithmetic, signal processing, and high-efficiency machine learning hardware, software, and compiler design. We’ve developed drop-in replacements for most common machine learning operations that allow for exact computation in a variety of environments, including both floating point and fixed point implementations. This enables exact, portable results across different products. The operations are designed to enable the highest efficiency implementations to be used. We believe that exact AI operations will drive us towards high efficiency implementations that both hardware designers and product developers will love. When everyone agrees on the answers and those answers are efficient, we can all move faster towards great AI solutions.
Polly helps people with neurological disorders such as MS, CP, Alzheimer’s and Parkinson’s, by AI/ML platform giving a real-time voice, cognitive assistance and telecare to people with neurological conditions. Polly provides three values (3 C’s): 1-Communication: Real-time voice and facetime based on the contextual surroundings. 2-Control: cognitive assistance, computer vision, controlling IoT Devices, memory, and behavior assistant. 3-Caregiving: Assisting caregivers with remote patient monitoring and alarm system.
SnapCalorie is the first app where you can take a photo of any meal and get an accurate calorie count. It takes seconds to use and is more accurate than a trained nutritionist. 136 million people in the US are pre-diabetic or diabetic, yet tools to track diet are time-consuming and tedious, leading to user churn. SnapCalorie presents an opportunity to revolutionize the $140 billion weight management market. The team previously co-founded Google Lens, Cloud Vision API, and published a CVPR paper demonstrating the first algorithm to outperform a professional nutritionist at visual calorie counting. SnapCalorie is funded by YCombinator, Accel, and Index Ventures along with other top angels in the health and fitness industry. The app is already used by over 50k users and is growing at over 35% month over month.
Polly helps people with neurological disorders such as MS, CP, Alzheimer’s and Parkinson’s, by AI/ML platform giving a real-time voice, cognitive assistance and telecare to people with neurological conditions. Polly provides three values (3 C’s): 1-Communication: Real-time voice and facetime based on the contextual surroundings. 2-Control: cognitive assistance, computer vision, controlling IoT Devices, memory, and behavior assistant. 3-Caregiving: Assisting caregivers with remote patient monitoring and alarm system.
