Nursery
Sunshine Day Nursery | Ofsted Reports, Fees, Reviews (2025)
Sunshine Day Nursery
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Sunshine Day Nursery
- Nursery
- Adur BN43 6DA
1 schools in compare list
Ofsted report
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| The quality of education | Good |
| Behaviour and attitudes | Good |
| Personal development | Good |
| Leadership and management | Good |
| Overall effectiveness at previous inspection | Outstanding |
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Indoor and Outdoor Facilities: Play equipment and environments are carefully thought out.
Activities: Children enjoy playing at the 'finger gym' table and develop muscles in their hands for learning to write.
Skills , Knowledge and Behavior: Leaders have an ambitious curriculum in place to provide children with a rich set of experiences to enhance their future learning.
Communication: Parents and practitioners work together to support children's learning, providing feedback about children's progress.
Programs and Resources: The SENCo supports leaders in creating focused plans for children with SEND to achieve the best outcomes.
Welcoming and Professional Staff: Practitioners are nurturing, expressive, and enthusiastic. They know the children well and offer praise and cuddles.
Safeguarding Training: There is an open and positive culture around safeguarding that puts children's interests first.
Play and Learning Integration: Young children laugh and giggle as they practise jumping with practitioners, and children develop good physical skills.
Child Safety Management: Practitioners create areas that encourage babies to practise skills such as pulling themselves up and walking.
Happiness and Settling: Children are happy and settled with nurturing practitioners who know them well.
Nutritional Menu: Practitioners do not always extend children's knowledge of good health or nutrition at mealtimes.
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About Us
Sunshine Day Nursery is a Nursery, Nursery located in West Sussex, South East.
This nursery accepts children from 0.3-5 years old.
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Sunshine Day Nursery
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From the Sunshine Day Nursery
Established in 2002, FootfallCam is a privately held company and leading global provider of people counting solutions.
We have a team of highly skilled engineers, manufacturing both hardware and software fully in-house in our U.K Headquarter, and applying their expertise in chosen fields to solve business challenges over the years.
With a global network of reseller partners and continuous effort in research and development, we have relentlessly served organisations all over the world in sectors varying from retail, fast food restaurants, and museums to smart buildings and airports, for more than a decade.
Research and development (R&D) is important to our business and is a key component of our core strategy.
We have an in-house R&D team dedicated to the development of both hardware and software of FootfallCam.
Continuous development of the product allows FootfallCam to stay at the forefront in the people counting industry.
Coupled with our innovative approach to product development, we have successfully developed our flagship product, FootfallCam 3D Max.
We are the first in the world that combine people counting and Wi-Fi analytics into a single device.
We are committed to continually maintain our market leading position, bringing a great deal of strategic foresight that our customers require.
FootfallCam expands its presence globally by setting up sales offices in several countries such as in the United Kingdom, United States, Hong Kong and Malaysia.
Over the years, besides setting up sales offices, FootfallCam has developed a strong partner network with its presence at more than 100 countries such as Ireland, France, Italy, Spain, United Arab Emirates, South Africa, Thailand, Singapore, Indonesia, Germany, Australia and others.
We have over 100 years of combined industry experience in developing both hardware and software for people counting solutions.
Stereoscopic (3D image processing) being able to intelligently distinguish a human from non-human objects and track directional movement of a walking human.
Artificial Intelligence using a Support Vector Machine (SVM) neural network model to train our machines on how to recognize something.
Read more
We have a team of highly skilled engineers, manufacturing both hardware and software fully in-house in our U.K Headquarter, and applying their expertise in chosen fields to solve business challenges over the years.
With a global network of reseller partners and continuous effort in research and development, we have relentlessly served organisations all over the world in sectors varying from retail, fast food restaurants, and museums to smart buildings and airports, for more than a decade.
Research and development (R&D) is important to our business and is a key component of our core strategy.
We have an in-house R&D team dedicated to the development of both hardware and software of FootfallCam.
Continuous development of the product allows FootfallCam to stay at the forefront in the people counting industry.
Coupled with our innovative approach to product development, we have successfully developed our flagship product, FootfallCam 3D Max.
We are the first in the world that combine people counting and Wi-Fi analytics into a single device.
We are committed to continually maintain our market leading position, bringing a great deal of strategic foresight that our customers require.
FootfallCam expands its presence globally by setting up sales offices in several countries such as in the United Kingdom, United States, Hong Kong and Malaysia.
Over the years, besides setting up sales offices, FootfallCam has developed a strong partner network with its presence at more than 100 countries such as Ireland, France, Italy, Spain, United Arab Emirates, South Africa, Thailand, Singapore, Indonesia, Germany, Australia and others.
We have over 100 years of combined industry experience in developing both hardware and software for people counting solutions.
Stereoscopic (3D image processing) being able to intelligently distinguish a human from non-human objects and track directional movement of a walking human.
Artificial Intelligence using a Support Vector Machine (SVM) neural network model to train our machines on how to recognize something.
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Holidays & terms
Holidays 2024/25
| Holidays | Date |
|---|---|
| Autumn Half Term Holidays | 28th Oct 2024 - 1st Nov 2024 |
| Winter Holidays | 23rd Dec 2024 - 3rd Jan 2025 |
| Spring Half Term Holidays | 17th Feb 2025 - 21st Feb 2025 |
| Spring Holidays | 7th Apr 2025 - 21st Apr 2025 |
| Summer Half Term Holidays | 26th May 2025 - 30th May 2025 |
| Summer Holidays | 23rd Jul 2025 - 2nd Sep 2025 |
Terms Dates 2024/25
| Terms | Dates |
|---|---|
| Autumn Term | 2nd Sep 2024 - 27th Oct 2024 |
| Autumn Term-2 | 2nd Nov 2024 - 22nd Dec 2024 |
| Spring Term | 4th Jan 2025 - 16th Feb 2025 |
| Spring Term-2 | 22nd Feb 2025 - 6th Apr 2025 |
| Summer Term | 22nd Apr 2025 - 25th May 2025 |
| Summer Term-2 | 31st May 2025 - 22nd Jul 2025 |
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