Nursery
Little Fingers Day Nursery | Ofsted Reports, Fees, Reviews (2025)
Little Fingers Day Nursery
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Little Fingers Day Nursery
- Nursery
- Darenth DA2 8DX
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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 | Good |
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Indoor and Outdoor Facilities: The environment is calm and relaxed with reading dens in the gardens that support children's learning.
Activities: Children engage in making leaf rubbings and explore new textures and patterns.
Skills , Knowledge and Behavior: Staff give children lots of time to develop new skills and offer lots of praise, ensuring continuous progress from their starting points.
Communication: Children show excitement to share their learning with their families about the chicks they hatched.
Programs and Resources: Leaders design and implement an exciting curriculum that includes activities like hatching chicks to support all children's development, including those with SEND.
Staff Training: Staff receive continuous professional development opportunities and targeted training, such as speech and language.
Welcoming and Professional Staff: The staff are passionate, kind, and show genuine compassion through their interactions.
Safeguarding Training: The leadership team ensures that all staff receive regular safeguarding training to keep their knowledge up to date.
Play and Learning Integration: Children engage in their learning through play, developing positive attitudes and concentrating well.
Child Safety Management: The leadership team ensures that all staff receive regular safeguarding training, and staff can confidently discuss a range of child protection issues.
Children's Safety and Security: Children feel safe and secure in the relaxed environment at the nursery.
Historical Ofsted reports
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About Us
Little Fingers Day Nursery is a Nursery, Nursery located in Kent, South East.
This nursery accepts children from 0.3-5 years old.
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Little Fingers Day Nursery
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From the Little Fingers Day Nursery
FootfallCam, a privately held firm that was founded in 2002, is the top provider of solutions for counting people worldwide.
We have a team of highly skilled engineers who produce all of the hardware and software in-house at our U.K. headquarters, using their specialties to address business problems over time.
We have tirelessly serviced organisations all over the world in industries ranging from retail, fast food restaurants, and museums to smart buildings and airports, for more than ten years, with the help of a global network of reseller partners and ongoing effort in research and development.
Research and development (R&D) is important to our business and is a key component of our core strategy.
We have an internal R&D team devoted to the creation of FootfallCam's hardware and software.
FootfallCam is able to maintain its position at the forefront of the people counting market through constant product development.
Our main product, FootfallCam 3D Max, was successfully created because to our creative approach to product development.
We are the first company in the world to integrate Wi-Fi analytics and people counts into a single device.
We are dedicated to upholding our position as the industry leader by providing the level of strategic insight that our clients demand.
By opening sales offices in a number of nations, including the United Kingdom, the United States, Hong Kong, and Malaysia, FootfallCam increases its footprint across the globe.
FootfallCam has established sales offices in more than 100 nations, including Ireland, France, Italy, Spain, the United Arab Emirates, South Africa, Thailand, Singapore, Indonesia, Germany, Australia, and others. In addition, it has built up a solid partner network.
We have created hardware and software for solutions involving people counting for more than 100 years.
Stereoscopic (3D image processing) being able to discern intelligently between a human and non-human objects and follow a walking human's course of travel.
Support Vector Machine (SVM) neural network modelling is used in artificial intelligence to train our machines to recognise objects.
Read more
We have a team of highly skilled engineers who produce all of the hardware and software in-house at our U.K. headquarters, using their specialties to address business problems over time.
We have tirelessly serviced organisations all over the world in industries ranging from retail, fast food restaurants, and museums to smart buildings and airports, for more than ten years, with the help of a global network of reseller partners and ongoing effort in research and development.
Research and development (R&D) is important to our business and is a key component of our core strategy.
We have an internal R&D team devoted to the creation of FootfallCam's hardware and software.
FootfallCam is able to maintain its position at the forefront of the people counting market through constant product development.
Our main product, FootfallCam 3D Max, was successfully created because to our creative approach to product development.
We are the first company in the world to integrate Wi-Fi analytics and people counts into a single device.
We are dedicated to upholding our position as the industry leader by providing the level of strategic insight that our clients demand.
By opening sales offices in a number of nations, including the United Kingdom, the United States, Hong Kong, and Malaysia, FootfallCam increases its footprint across the globe.
FootfallCam has established sales offices in more than 100 nations, including Ireland, France, Italy, Spain, the United Arab Emirates, South Africa, Thailand, Singapore, Indonesia, Germany, Australia, and others. In addition, it has built up a solid partner network.
We have created hardware and software for solutions involving people counting for more than 100 years.
Stereoscopic (3D image processing) being able to discern intelligently between a human and non-human objects and follow a walking human's course of travel.
Support Vector Machine (SVM) neural network modelling is used in artificial intelligence to train our machines to recognise objects.
Admission
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 - 29th Aug 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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