DEEPCRAFT™ Ready Models are production-ready AI / Machine Learning (ML) models that are ready to be added to any edge device. You save all the time, cost and resources required to create collect, validate, and label data, as well as to train custom AI / ML models on that data.
The following Ready Models are available today. Test them out, or reach out to us to learn more about them.
With our newest audio detection model, you have the ability to determine what direction sounds are coming from.
The uses for this model are many and varied; to give one example, paired with the Siren Ready Model, it can add safety for drivers, passengers and pedestrians.
The Factory Alarms and Sirens model is created to be used in factory settings to detect alarms and sirens when they go off. This makes factories safer, and can be used for example to alert workers wearing noise cancelling headphones that a siren or alarm has gone off, when they might not otherwise hear it.
- Robust against diverse factory background sounds, and different distances and angels from the sound source
This fall-detection model is perfect to add into wrist worn devices. It is specifically developed to understand motion and recognize falling, and at the same time reduce battery consumption to a minimum, so that the wearable maintains a long battery life.
This model provides safety features for all users, but is particularly useful for seniors.
The Gesture Detection model is created to make smart home or lifestyle products easier to use. Want to add time to your microwave? Swipe left! Want to turn on your coffee machine? Swipe up!
This radar-based model recognizes five hand gestures. The use cases for your products are nearly limitless!
- Robust against many variations, such as sitting or standing, or different user heights.
The Baby Cry model is created to be used in smart home or lifestyle products that want to alert adults to the sound of baby or toddler crying in another room, or to activate baby soothing features.
- Captures most baby cry sounds at up 5 meters distance from device
- Robust against the most common background sounds, particularly indoor
- Suitable for 0-4 years old
The Coughing model is designed for use in healthcare products or wearables. It detects coughing, which can indicate illness or other respiratory conditions, and can be used to identify potential environmental hazards.
- Captures at least 94% of coughs
- Robust against the most common indoor and outdoor background sounds
- Measures coughs per hour to identify 'sick' versus 'healthy' user
This model uses audio event detection to identify emergency vehicle sirens. This can be used to alert pedestrians to emergency vehicles in their vicinity, or to trigger other safety features in wearables.
- Captures over 95% of siren sounds
- Robust against common traffic background sounds in different environments
- Able to detect siren sounds from all directions
This model is ideal for companies with healthcare or wearable products that want to identify snoring. This important feature can be used to identify health or environmental issues.
- Captures at least 96% of snores
- Robust against the most common background sounds, particularly indoor
- Flexibly designed to be used in wearables or in devices that are placed near the bed
We're always working on new models. See some of the things we're working on below. (Don't see what you're looking for? Contact sales to find out what new models are in the works!)
This Ready Model detects glass breaking, and can provide an extra measure of safety. Add glass break detection to home and car alarms, for example.
Click 'I'm interested!' below to register your interest and we will let you know when this model is available.
This radar-based Ready Model can detect the presence of humans or pets in the vicinity. Use this for many applications, such as controlling the temperature, turning products off or on, and more!
Click 'I'm interested!' below to register your interest and we will let you know when this model is available.
Radar can be used to detect different surfaces, enabling better than ever performance in products like robot vacuum cleaners. This Ready Model for indoor surface detection makes robot vacuum cleaners more sophisticated than before!
Click 'I'm interested!' below to register your interest and we will let you know when this model is available.
Do you ever take off your headphones, then realize later they're still on and the battery is drained? Using CAPSENSE™ and AI, you can now get a solution that detects whether or not a device is being worn.
Use this Ready Model in wearable devices, to power them down when they are not in use. Or integrate it into safety helmets, to make sure they are being used when they should be.
We are continuously releasing new Ready Models, with various sensors and uses. Most of our Ready Models are based on:
- Audio: for detecting specific sounds
- Capacitive Sensing: for using touch to trigger an event
- Radar: for detecting presence, objects or materials
- IMU: for detecting the motion of humans such as falling or vibrations in a machine
- Complete models ready to be put into production
- Fast time to market - no development or AI know-how required
- High accuracy and production quality
- Fully tested on a large library of datasets to ensure model works in wide range of scenarios
- Low memory footprint and inference time
- Data is kept local and not shared to the cloud
- Can be launched right away on embedded hardware (deployment-ready Infineon MCUs such as PSOC™ 6, PSOC™ Edge, AURIX™ and TRAVEO™. Talk to us about deploying on other hardware).
- Easy to integrate and deploy into consumer products
- Using ML models to add new features makes them future-proof, model improvements and updates with OTA software in ModusToolbox™
- Designed to work with wearables, health and safety devices that are familiar and convenient for end-users
Can't wait to get your hands on one of our Ready Models? Fill out this form and we will contact you shortly.
Interested in a Ready Model you don't see here? Get in touch so we can get the right model in your device as soon as possible!