Watch the pitch videos from this year’s five finalists!
These start-ups are bringing new innovations to the computer vision and visual AI market.
Judges' Award Winner
- Hummingbirds AI -
Hummingbirds AI
Hummingbirds AI is an award-winning computer vision startup, creating edge-based applications in the intersection of security and privacy for enterprises, including GuacamoleID. GuacamoleID is a video-based MFA authentication solution for enterprise computers that continuously protects employees’ devices against unauthorized access through frame-by-frame face verification.
Hummingbirds AI is an award-winning computer vision startup, creating edge-based applications in the intersection of security and privacy for enterprises, including GuacamoleID. GuacamoleID is a video-based MFA authentication solution for enterprise computers that continuously protects employees’ devices against unauthorized access through frame-by-frame face verification. This edge-based application continuously matches the faces in front of the computer with authorized faces; and automatically blocks the unauthorized people. The admin dashboard gives administrators visibility into operations through real-time vulnerability detection on scale with a stepping up mechanism. While the primary benefit of GuacamoleID is information security, it’s a user-friendly app for employees to be more secure, engaged and productive in their work. It’s the first solution in the market that protects devices after login. Also it’s camera agnostic and doesn’t require expensive cameras. It’s cloud-independent, therefore affordable. It’s privacy-first and GDPR compliant and all the biometrics are encrypted and stay in the device. Website: https://hummingbirds.ai
Audience Choice Award Winner
- Oculi -
Oculi
Oculi is a deep-tech fabless company with an experienced team of semiconductor and vision experts, a spin-out of Johns Hopkins where the founder developed the technology. Oculi means “eyes” and our mission is to make artificial vision faster and more efficient by embedding intelligence at the pixel.
Oculi is a deep-tech fabless company with an experienced team of semiconductor and vision experts, a spin-out of Johns Hopkins where the founder developed the technology. Oculi means “eyes” and our mission is to make artificial vision faster and more efficient by embedding intelligence at the pixel. We have paying customers and a growing pipeline in AR/VR, gaming, and smart/interactive display. They all require real-time eye, gesture, face, and people tracking. Any perceived lag is unnatural, and therefore an unpleasant experience for the user as human vision performs these acts in real-time. Power consumption also negatively impacts the user experience for battery-operated devices. In addition, the user is limited to controlled environments further impacting the desired experience. Oculi technology enables a natural & immersive user experience indoors and outdoors, with up to 30x reduction in power consumption and latency with a lower bill of materials. Website: https://www.oculi.ai/
Finalists
linedanceAI
linedanceAI MovalityTM, is a software solution of movement quality records for outpatient musculoskeletal providers who work with patients recovering from accidents or injuries.
linedanceAI MovalityTM, is a software solution of movement quality records for outpatient musculoskeletal providers who work with patients recovering from accidents or injuries. MovalityTM transforms provider observations into explainable, actionable data-backed assessments to boost patient understanding and increase patient retention. Providers using MovalityTM improve the explainability and delivery of musculoskeletal care in their practices by connecting objective movement quality metrics with patient recovery pathways and goals.
- Efficient: AI models are hardware optimized, running on NPU for increased performance.
- Cost effective: Local inference eliminates the need of sending data and processing them in the cloud.
- On-device processing: With the on-device AI, user content is processed locally. This provides a better user interface with uncompromised security.
Website: https://www.linedanceai.com
Qlairvoyance
Qlairvoyance is an AI platform for radar sensors that enables applications to take advantage of “x-ray visual intelligence”: sensing intelligence that is extracted beyond the field of view, agnostic to lighting conditions and is privacy preserving.
Qlairvoyance is an AI platform for radar sensors that enables applications to take advantage of “x-ray visual intelligence”: sensing intelligence that is extracted beyond the field of view, agnostic to lighting conditions and is privacy preserving. The platform provides out-of-the-box APIs that run on the edge or cloud and facilitate detection, tracking and prediction of human activity, concealed objects and hand gestures. The platform provides real-time spatial locations of identified objects at cm-level resolution, direction + speed of movement, depth and elevation azimuth allowing for a wide-variety of downstream applications. A primary technical innovation of Qlairvoyance is a proprietary algorithm fusing visual intelligence with radar based AI models. Qlairvoyance is currently running proof of concepts with a national retailer and low-code platform provider for privacy-preserving people counting, occupancy sensing and concealed weapons detection. Website: https://qlairvoyance.com/
Tempo Analytics
Tempo Analytics SOS (Speed of Service) solution uses state of the art advancements in machine learning and computer vision to collect valuable statistics and metrics to business owners over the average speed of service at the counter, average waiting time, average time a customer spends in the restaurant, congestion areas, etc.
Tempo Analytics SOS (Speed of Service) solution uses state of the art advancements in machine learning and computer vision to collect valuable statistics and metrics to business owners over the average speed of service at the counter, average waiting time, average time a customer spends in the restaurant, congestion areas, etc. The solution utilizes feed from multiple PoE cameras for its operation, applying advanced operations on the visual camera feeds to efficiently track and re-identify customers across multiple cameras, and accurately estimate the time they spend performing different activities (entering the store, submitting order, picking up order, consuming food, leaving store, etc.). The end to end solution is designed for utmost privacy and security as no data is collected or transmitted, it is an independent edge device that does not require any network connection. It functions based on state of the art advancements in object detection, tracking, and re-identification. Our solution is capable of retrofitting existing cameras, reducing the total price of the system. Website: https://tempo-analytics.ai
